What AI Development Jobs are in London?
Showing 2021 AI Development jobs in London
Job Description
**The team you'll be working with:**
We are seeking highly skilled and experienced Gen AI specialist to join our dynamic Gen AI COE inside NTT DATA UK&I. The ideal candidate will have a strong background in designing and implementing AI solutions ideally using AWS technology. This role requires a deep understanding of generative AI techniques.
The selected candidate would eventually take on a wider range of responsibilities, within our COE, for example to work on novel projects. The GraphRAG solution is however a good place to start and be a proving ground.
**Please note: You must be eligible for SC (Security Check) clearance to apply for this position.**
**What you'll be doing:**
**Key Responsibilities**
+ Deploy solution into new customer tenant (based on a re-usable method)
+ Onboard customer documents into the solution, including making sure diagrams have been properly parsed.
+ Configure Langchain for vector processing and graph extraction
+ Create agents to generate new outputs from existing knowledge graph
+ Tune prompts so that customers can find the information they are looking for
+ Collaborate with off-shore teams and share knowledge with other AI developers around the world.
**What experience you'll bring:**
**Required Skills and Qualifications: (must have experience)**
+ Technical data engineer with a strong desire and drive to learn new technologies, and to apply these technologies in new spaces
+ Someone with a real technical facility to solve problems without significant oversight or leadership
+ An understanding of AI, and AI ethics
+ An understanding of data safety in use of Large Language Models
+ Knowledge and experience of either AWS or Azure:
+ AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)
+ Azure (azure Open AI service, Cosmos DB)
+ Python
+ LangGraph
+ Neo4j/cypher
+ Other coding languages/frameworks e.g. Java/.Net
+ AI RAG (retrieval augmented generation)
+ Graph RAG
+ Few shot detection
+ Embedding models/LLMs - how they work, how they are trained
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
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We are seeking highly skilled and experienced Gen AI specialist to join our dynamic Gen AI COE inside NTT DATA UK&I. The ideal candidate will have a strong background in designing and implementing AI solutions ideally using AWS technology. This role requires a deep understanding of generative AI techniques.
The selected candidate would eventually take on a wider range of responsibilities, within our COE, for example to work on novel projects. The GraphRAG solution is however a good place to start and be a proving ground.
**Please note: You must be eligible for SC (Security Check) clearance to apply for this position.**
**What you'll be doing:**
**Key Responsibilities**
+ Deploy solution into new customer tenant (based on a re-usable method)
+ Onboard customer documents into the solution, including making sure diagrams have been properly parsed.
+ Configure Langchain for vector processing and graph extraction
+ Create agents to generate new outputs from existing knowledge graph
+ Tune prompts so that customers can find the information they are looking for
+ Collaborate with off-shore teams and share knowledge with other AI developers around the world.
**What experience you'll bring:**
**Required Skills and Qualifications: (must have experience)**
+ Technical data engineer with a strong desire and drive to learn new technologies, and to apply these technologies in new spaces
+ Someone with a real technical facility to solve problems without significant oversight or leadership
+ An understanding of AI, and AI ethics
+ An understanding of data safety in use of Large Language Models
+ Knowledge and experience of either AWS or Azure:
+ AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)
+ Azure (azure Open AI service, Cosmos DB)
+ Python
+ LangGraph
+ Neo4j/cypher
+ Other coding languages/frameworks e.g. Java/.Net
+ AI RAG (retrieval augmented generation)
+ Graph RAG
+ Few shot detection
+ Embedding models/LLMs - how they work, how they are trained
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
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0
Research Associate in Artificial Intelligence & Machine Learning - London
W12 0NN London
Imperial College London
Posted 5 days ago
Job Viewed
Job Description
Research Associate in Artificial Intelligence & Machine Learning Job Type: Full-Time. Starting Salary: 49017 - 55144 per annum plus benefits To find out more about the job please click the apply for job button to be taken to Imperial job site
About the role
Applications are invited for the position of post-doctoral research associate, to work at the National Heart and Lung Institute, Imperial College London. We are a multi-disciplinary team consisting of researchers with strong backgrounds in clinical cardiology, cardiac electrophysiology, basic science, as well as AI, mathematical, engineering expertise. We are seeking a highly motivated post-doctoral research associate to join a collaborative team of clinicians, basic scientists, and physical scientists working on cardiovascular research. The post holder will apply signal processing and AI methodology to ECGs and 2-week single-lead ECG patch data, to predict a range of cardiovascular outcomes.
The present post is funded by an EU Innovation Health Initiative (IHI), awarded to a global consortium/collaboration to reduce the burden of atrial fibrillation and advance its quantification and treatment. The work at Imperial College London is led by Professors Barbara Casadei, Fu Siong Ng and Steven Niedere
What you would be doing
You will apply signal processing and AI methodology to ECGs and 2-week single-lead ECG patch data, to predict a range of cardiovascular outcomes. You will work closely with the clinicians, biologists, bioengineers and physical scientists within the multi-disciplinary group
What we are looking for
- You should have a PhD (or submitted a PhD and awaiting viva), or an equivalent qualification, industrial or commercial experience, in a computational discipline.
*Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range 43,863 - 47,223 per annum.
- Experience in computer programming (particularly Python), is essential, and previous experience with AI research is highly desirable.
- A background in cardiovascular research is also desirable.
- You should also have a collaborative approach to research as this role requires working with other groups both within and outside the department.
What we can offer you
The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
- Grow your career: gain access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
- Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing .
Further information
The post is full-time fixed term for a duration of 2 year and based at the Hammersmith Campus, with the possibility of extension.
Informal enquiries may be sent to Prof Fu Siong Ng ( )
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1
Job Description
Lead Machine Learning Engineer - London Reference Code: -en_GBContract Type:PermanentProfessional Communities: Data & AI
Job Title: GEN AI Developer
Location: London
About the Job you are considering:
We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions In this role youll work closely with senior developers AI architects and business stakeholders to deliver impactful AIdriven features and products.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
- Implement and finetune generative AI models under the guidance of senior team members
- Contribute to prompt engineering and development of Ai powered workflows
- Assist with the deployment monitoring and maintenance of AI models in production environments
- Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities
- Perform data preprocessing feature engineering and API development for AI applications
- Participate in code reviews testing and documentation to ensure quality and reliability
- Stay updated with advancements in GenAI and share relevant learnings with the team
Required Technical Skills
- Handson experience with at least one major machine learning framework PyTorch TensorFlow Keras
- Familiarity with LLMs prompt engineering and finetuning e.g. LoRA QLoRA
- Exposure to RAG systems and basic knowledge of hybrid search techniques
- Understanding of model deployment and containerization Docker
- Proficiency in Python for AI development data preprocessing and scripting
- Experience with generative AI tools LangChain Hugging Face LlamaIndex is a plus
- Understanding of version control systems Git
- Awareness of AI compliance data privacy and responsible AI principles
Required Soft Skills
Strong teamwork and communication abilities- Willingness to learn new AIML technologies and frameworks
- Analytical mindset and attention to detail
- Openness to feedback and continuous improvement
Qualifications
bachelors degree or masters degree in computer science data science AI or a related field- 3to5 years of professional experience in AIML development with exposure to Generative AI
- Experience delivering AIML projects in a collaborative setting
- Exposure to cloud based AIML environments AWS GCP or Azure is a plus
We are a Disability Confident Employer:
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2
Job Description
Senior ML Research Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.
Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies.
**Join us as a Senior ML Research Engineer and you will have the opportunity to:**
+ Collaborate with colleagues on production systems and write, test, and maintain production quality code
+ Design, train, experiment, and evaluate ML models, algorithms and solutions
+ Demonstrate technical leadership by owning cross-team projects
+ Stay current with the latest research in AI and incorporate new findings into our models and methodologies
+ Represent Bloomberg at scientific and industry conference and in open-source communities
+ Publish product and research findings in documentation, whitepapers or publications to leading academic venues
**We are looking for a Senior ML Research Engineer with the following experience:**
+ Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques
+ Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience
+ Proficiency in software engineering
+ An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus
We give back to the technology community and you can read more about our outreach at: indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.
Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies.
**Join us as a Senior ML Research Engineer and you will have the opportunity to:**
+ Collaborate with colleagues on production systems and write, test, and maintain production quality code
+ Design, train, experiment, and evaluate ML models, algorithms and solutions
+ Demonstrate technical leadership by owning cross-team projects
+ Stay current with the latest research in AI and incorporate new findings into our models and methodologies
+ Represent Bloomberg at scientific and industry conference and in open-source communities
+ Publish product and research findings in documentation, whitepapers or publications to leading academic venues
**We are looking for a Senior ML Research Engineer with the following experience:**
+ Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques
+ Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience
+ Proficiency in software engineering
+ An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus
We give back to the technology community and you can read more about our outreach at: indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
3
Job Description
Senior ML Platform Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.
Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
**Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:**
* Architect, build, and diagnose multi-tenant AI platform systems
* Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
* Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
* Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
* Design CI/CD automation frameworks that incorporate regulatory requirements
* Develop cloud-native deployment patterns for AI systems across environments
* Troubleshoot and debug user issues
* Provide operational and user-facing documentation
**We are looking for a Senior ML Platform Engineer with:**
* Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
* Experience designing cloud-native, distributed platforms
* Strong knowledge of Kubernetes, Argo, and container orchestration technologies
* Previous experience with modern CI/CD tools and GitOps workflows
* Familiarity with implementing automation for model development lifecycles
* A proactive mentality and ability to collaborate with peers, stakeholders, and management
* A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
* An understanding of Computer Science fundamentals such as data structures and algorithms
We give back to the technology community and you can read more about our outreach at:
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.
Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
**Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:**
* Architect, build, and diagnose multi-tenant AI platform systems
* Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
* Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
* Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
* Design CI/CD automation frameworks that incorporate regulatory requirements
* Develop cloud-native deployment patterns for AI systems across environments
* Troubleshoot and debug user issues
* Provide operational and user-facing documentation
**We are looking for a Senior ML Platform Engineer with:**
* Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
* Experience designing cloud-native, distributed platforms
* Strong knowledge of Kubernetes, Argo, and container orchestration technologies
* Previous experience with modern CI/CD tools and GitOps workflows
* Familiarity with implementing automation for model development lifecycles
* A proactive mentality and ability to collaborate with peers, stakeholders, and management
* A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
* An understanding of Computer Science fundamentals such as data structures and algorithms
We give back to the technology community and you can read more about our outreach at:
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
4
Senior AI Engineer - Generative AI & Search - Artificial Intelligence
London
Bloomberg
Posted 4 days ago
Job Viewed
Job Description
Senior AI Engineer - Generative AI & Search - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as:
+ Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions.
+ Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users.
+ Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights.
+ Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.
You'll have the opportunity to:
+ Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products, enhance analytical capabilities and improve user experience.
+ Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices.
+ Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement.
+ Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization.
+ Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions.
+ Represent Bloomberg at industry events, scientific conferences, and within open-source communities.
You'll need to have:
+ Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus.
+ Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications.
+ Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
+ Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.
We give back to the technology community and you can read more about our outreach at: (1) indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as:
+ Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions.
+ Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users.
+ Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights.
+ Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.
You'll have the opportunity to:
+ Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products, enhance analytical capabilities and improve user experience.
+ Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices.
+ Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement.
+ Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization.
+ Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions.
+ Represent Bloomberg at industry events, scientific conferences, and within open-source communities.
You'll need to have:
+ Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus.
+ Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications.
+ Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
+ Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.
We give back to the technology community and you can read more about our outreach at: (1) indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
5
Senior GenAI Platform Engineer - Artificial Intelligence
London
Bloomberg
Posted 5 days ago
Job Viewed
Job Description
Senior GenAI Platform Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior GenAI Platform Engineers with strong expertise and passion for building platforms, especially for GenAI systems.
As a Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior GenAI Platform Engineer and you will have the opportunity to:
+ Architect, build, and diagnose multi-tenant GenAI platform systems
+ Work closely with GenAI application teams to design seamless workflows for continuous model training, inference, and monitoring
+ Interface with GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
+ Collaborate with open-source communities and GenAI application teams to build a cohesive development experience
+ Troubleshoot and debug user issues
+ Provide operational and user-facing documentation
We are looking for a Senior GenAI Platform Engineer with:
+ Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
+ Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs
+ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
+ An understanding of Computer Science fundamentals such as data structures and algorithms
+ An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
We give back to the technology community and you can read more about our outreach at: (1) indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior GenAI Platform Engineers with strong expertise and passion for building platforms, especially for GenAI systems.
As a Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior GenAI Platform Engineer and you will have the opportunity to:
+ Architect, build, and diagnose multi-tenant GenAI platform systems
+ Work closely with GenAI application teams to design seamless workflows for continuous model training, inference, and monitoring
+ Interface with GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
+ Collaborate with open-source communities and GenAI application teams to build a cohesive development experience
+ Troubleshoot and debug user issues
+ Provide operational and user-facing documentation
We are looking for a Senior GenAI Platform Engineer with:
+ Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
+ Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs
+ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
+ An understanding of Computer Science fundamentals such as data structures and algorithms
+ An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
We give back to the technology community and you can read more about our outreach at: (1) indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
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6
Senior Product Manager - Machine Learning & Personalization
London
American Express
Posted 2 days ago
Job Viewed
Job Description
Senior Product Manager - Machine Learning & Personalization
LONDON, United Kingdom(Hybrid)
**Job Description**
Amex Digital Labs' mission is to build the future of payments and membership, creating new value that evolves with our customers' needs and drives deeper engagement and loyalty. We leverage emerging technologies to deliver innovations that enhance how customers pay, travel, dine, and experience the brand.
As a Senior Product Manager on the team, you will work with colleagues in the U.S and U.K in shaping how we leverage AI and data to drive a more personalized and engaging user experience. Your focus will be on ensuring that our personalization models and platforms meet our business goals and provide optimal customer experiences across multiple products, while working closely with cross-functional teams to monitor performance, refine models, and drive data-driven enhancements.
This is a highly collaborative and cross-functional role, working in close partnership with key partners in Engineering, Data Science, and Labs' Business Development & Go to Market teams.
**Responsibilities**
+ Define and drive the product strategy for AI-powered personalization and recommendation capabilities across digital products.
+ Translate business objectives and customer needs into clear product requirements for data science, engineering and platform teams.
+ Partner with Data Science and Engineering to develop, test, launch and optimize personalization models and recommendation experiences.
+ Monitor model and product performance, using data and experimentation to identify opportunities for improvement.
+ Use analytics, customer insights and business outcomes to prioritize enhancements and inform product decisions.
+ Ensure personalization capabilities are scalable, measurable and aligned with customer experience, compliance and business objectives.
+ Communicate product vision, progress, trade-offs and results clearly to senior stakeholders and cross-functional partners.
+ Help identify emerging AI and personalization trends and assess their relevance to American Express.
**Qualifications**
Minimum Qualifications
+ Experience as a Product Manager, or equivalent, with leadership responsibility in a fast-paced product development environment.
+ Experience developing AI products using Agile principles in close partnership with engineering teams.
+ Hands on experience in developing machine learning models, and experience in applying artificial intelligence to digital products.
+ Strong analytical skills, with experience using data and experimentation to inform product decisions and drive measurable improvement.
+ Competency in applied statistics, gained through academic study such as mathematics, computer science, engineering, economics or physics, or through comparable work experience.
+ Ability to translate business goals into product requirements and technical capabilities in partnership with Engineering and Data Science.
+ Proven ability to manage complex programs or initiatives, balancing delivery timelines, stakeholder expectations and product outcomes.
+ Strong understanding of emerging technology and AI trends, with the ability to assess their relevance to American Express.
+ Excellent communication skills, including concise verbal and written communication for executive audiences.
+ Demonstrated ability to work effectively in a highly collaborative, cross-functional environment.
+ Strong leadership, organizational and prioritization skills.
Preferred Qualifications
+ Experience with personalization, recommendation engines, ranking systems, targeting, customer decisioning or experimentation platforms.
+ Familiarity with model performance metrics, A/B testing, customer segmentation and lifecycle optimization.
+ Experience working in regulated industries, financial services or large-scale consumer digital platforms.
Employment eligibility to work with American Express in the UK is required as the company will not pursue visa sponsorship for these positions.
At American Express, our culture is built on a 175-year history of innovation, shared values ( and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job Info**
+ Job Identification
+ Job Category Product
+ Posting Date 06/11/2026, 03:04 PM
+ Apply Before 06/24/2026, 11:00 PM
+ Job Schedule Full time
+ Job Shift Day
+ Locations Belgrave H Belgrave House, London, LONDON, SW1W 9TQ, GB(Hybrid)
+ Career Area Product
Return to Jobs List (
LONDON, United Kingdom(Hybrid)
**Job Description**
Amex Digital Labs' mission is to build the future of payments and membership, creating new value that evolves with our customers' needs and drives deeper engagement and loyalty. We leverage emerging technologies to deliver innovations that enhance how customers pay, travel, dine, and experience the brand.
As a Senior Product Manager on the team, you will work with colleagues in the U.S and U.K in shaping how we leverage AI and data to drive a more personalized and engaging user experience. Your focus will be on ensuring that our personalization models and platforms meet our business goals and provide optimal customer experiences across multiple products, while working closely with cross-functional teams to monitor performance, refine models, and drive data-driven enhancements.
This is a highly collaborative and cross-functional role, working in close partnership with key partners in Engineering, Data Science, and Labs' Business Development & Go to Market teams.
**Responsibilities**
+ Define and drive the product strategy for AI-powered personalization and recommendation capabilities across digital products.
+ Translate business objectives and customer needs into clear product requirements for data science, engineering and platform teams.
+ Partner with Data Science and Engineering to develop, test, launch and optimize personalization models and recommendation experiences.
+ Monitor model and product performance, using data and experimentation to identify opportunities for improvement.
+ Use analytics, customer insights and business outcomes to prioritize enhancements and inform product decisions.
+ Ensure personalization capabilities are scalable, measurable and aligned with customer experience, compliance and business objectives.
+ Communicate product vision, progress, trade-offs and results clearly to senior stakeholders and cross-functional partners.
+ Help identify emerging AI and personalization trends and assess their relevance to American Express.
**Qualifications**
Minimum Qualifications
+ Experience as a Product Manager, or equivalent, with leadership responsibility in a fast-paced product development environment.
+ Experience developing AI products using Agile principles in close partnership with engineering teams.
+ Hands on experience in developing machine learning models, and experience in applying artificial intelligence to digital products.
+ Strong analytical skills, with experience using data and experimentation to inform product decisions and drive measurable improvement.
+ Competency in applied statistics, gained through academic study such as mathematics, computer science, engineering, economics or physics, or through comparable work experience.
+ Ability to translate business goals into product requirements and technical capabilities in partnership with Engineering and Data Science.
+ Proven ability to manage complex programs or initiatives, balancing delivery timelines, stakeholder expectations and product outcomes.
+ Strong understanding of emerging technology and AI trends, with the ability to assess their relevance to American Express.
+ Excellent communication skills, including concise verbal and written communication for executive audiences.
+ Demonstrated ability to work effectively in a highly collaborative, cross-functional environment.
+ Strong leadership, organizational and prioritization skills.
Preferred Qualifications
+ Experience with personalization, recommendation engines, ranking systems, targeting, customer decisioning or experimentation platforms.
+ Familiarity with model performance metrics, A/B testing, customer segmentation and lifecycle optimization.
+ Experience working in regulated industries, financial services or large-scale consumer digital platforms.
Employment eligibility to work with American Express in the UK is required as the company will not pursue visa sponsorship for these positions.
At American Express, our culture is built on a 175-year history of innovation, shared values ( and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job Info**
+ Job Identification
+ Job Category Product
+ Posting Date 06/11/2026, 03:04 PM
+ Apply Before 06/24/2026, 11:00 PM
+ Job Schedule Full time
+ Job Shift Day
+ Locations Belgrave H Belgrave House, London, LONDON, SW1W 9TQ, GB(Hybrid)
+ Career Area Product
Return to Jobs List (
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
7
Senior ML Quant Engineer - Fixed Income - Artificial Intelligence
London
Bloomberg
Posted 5 days ago
Job Viewed
Job Description
Senior ML Quant Engineer - Fixed Income - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We seek highly multifaceted skilled individuals with expertise in Fixed Income modeling, interest rate theory, credit risk, or advanced statistical/machine learning techniques.
**You'll have the opportunity to:**
+ Design, build and evaluate statistical and Machine Learning models that directly influence how global markets price fixed income assets
+ Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
+ Design new architectures, systems and tools to power next-generation pricing capabilities of Bloomberg.
+ Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
+ Represent Bloomberg at scientific and industry conferences, and publish research findings through documentation, whitepapers, or in leading academic journals and conferences.
**You'll need to have:**
+ Previous relevant work experience with Machine Learning or Statistical Modeling techniques in the financial industry, ideally around asset valuation. A track record designing, building, evaluating, and maintaining statistical or Machine Learning solutions in production is a plus.
+ Ph.D. or M.Sc. with equivalent research experience in Machine Learning, Computer Science, Mathematics, Statistics or a related field.
+ Thriving in solving challenging, often ill-defined problems where off-the-shelf solutions fall short, and bring a creative, rigorous approach to developing novel methods and technologies.
+ Proficiency in software engineering with an understanding of Computer Science fundamentals such as data structures and algorithms.
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus.
We give back to the technology community and you can read more about our outreach at:
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Engineering and CTO
Ref #
**Description & Requirements**
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We seek highly multifaceted skilled individuals with expertise in Fixed Income modeling, interest rate theory, credit risk, or advanced statistical/machine learning techniques.
**You'll have the opportunity to:**
+ Design, build and evaluate statistical and Machine Learning models that directly influence how global markets price fixed income assets
+ Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
+ Design new architectures, systems and tools to power next-generation pricing capabilities of Bloomberg.
+ Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
+ Represent Bloomberg at scientific and industry conferences, and publish research findings through documentation, whitepapers, or in leading academic journals and conferences.
**You'll need to have:**
+ Previous relevant work experience with Machine Learning or Statistical Modeling techniques in the financial industry, ideally around asset valuation. A track record designing, building, evaluating, and maintaining statistical or Machine Learning solutions in production is a plus.
+ Ph.D. or M.Sc. with equivalent research experience in Machine Learning, Computer Science, Mathematics, Statistics or a related field.
+ Thriving in solving challenging, often ill-defined problems where off-the-shelf solutions fall short, and bring a creative, rigorous approach to developing novel methods and technologies.
+ Proficiency in software engineering with an understanding of Computer Science fundamentals such as data structures and algorithms.
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus.
We give back to the technology community and you can read more about our outreach at:
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
8
International Standards Verifier - International BTEC - Artificial Intelligence - UK Based
London
Pearson
Posted 5 days ago
Job Viewed
Job Description
**Please Note** : This vacancy is for applicants based within the UK who are interested in International BTEC Verification. We offer both remote and in-person contracts. If you are based outside of the UK, please apply via the relevant international vacancy.
**Purpose**
The Standards Verifier plays a key role in maintaining the integrity and consistency of vocational qualificationsby ensuring that assessment and internal verification practices meet national standards. This involves providing expert subject-specific support to centres, conducting sampling and verification activities, delivering clear and constructive feedback, and contributing to the ongoing development of quality assurance processes. Through regular training, collaboration with internal teams, and engagement with centres, the Standards Verifier helps uphold Pearson's commitment to high-quality, reliable assessment.
**Core Services**
When carrying out your role; please be mindful that you represent Pearson and that you should always maintain your professional integrity. Therefore, it is essential that you:
Ensure compliance with all parts of the terms and conditions and other policies.
Act at all times in a way which will not bring Pearson, it's employees and its representatives into disrepute.
Adhere to Pearson policies and guidance related to data privacy and security of information.
Remain respectful and advocate for others to ensure diversity, equity, and inclusion, in a professional manner.
Raise any concerns if you suspect or are made away of any malpractice, maladministration and/ or Safeguarding issues.
Adhere to deadlines given by Pearson and ensure that all work is carried out to the best of an individual's ability.
Respect the confidentiality of centres and learners.
You are responsible for the provision of your own IT equipment and must therefore ensure it is capable of running Pearson required software, relevant malware, appropriate anti-virus software and a suitable internet connection. As well as this we require a Personal email address attached to a secure account. (This cannot be a work email)
Collaborate and communicate in a timely manner with Pearson.
**Role Specific Services and Expectations**
In addition to Pearson's core service expectations, this role requires the following specialised responsibilities:
Stay up to date with relevant qualification specifications and, where applicable, National Occupational Standards.
Provide expert advice, guidance, and support tailored to your subject area and in line with verification requirements.
Attend and complete all mandatory training and annual standardisation activities within required timelines.
Conduct centre visits as required for qualifications involving visiting verification, following guidance from the Assessment team and subject to approval.
Adhere to Pearson's quality assurance processes and follow prescribed sampling strategies for allocated qualifications.
Review learner work and internal verification records to ensure accuracy and compliance.
Ensure assessment decisions are valid, consistent, and aligned with national standards.
Provide constructive feedback and support to centres during the sampling process.
Produce comprehensive and actionable sampling reports for each centre visited.
Clearly communicate when standards are not met and outline the necessary corrective actions.
Assist centres in addressing issues, implementing improvements, and maintaining ongoing compliance.
Identify and recommend suitable learner work or assessment materials for use in future training and standardisation events.
Maintain regular communication with your Pearson supervisor and work collaboratively with internal teams.
This role requires a proactive approach to quality assurance and a commitment to maintaining Pearson's high standards across all responsibilities.
**Experience and Qualifications** **required** **:**
**Experience:**
As a representative of the company, you will be expected to have experience in, or be able to demonstrate the ability of the following:
Strong background in quality assurance and assessment practices.
A minimum of2 full academic years of teaching experience in the relevant subject area/sector within the last 8 years and/or extensive knowledge and experience in Pearson assessment, quality and processes and national standards within the last 5 years .
**Please note** : As Artificial Intelligence is a relatively new specification/subject area, applicants are required to demonstrate teaching experience in a closely related subject which covers AI-related concepts, such as Computer Science, Information Technology, Digital Technologies, or similar disciplines.
Experience in verifying regulated qualifications.
Exceptional communication skills.
Proven ability to deliver and coordinate training sessions, including standardisation and other standards-focused activities.
In-depth knowledge of specifications relevant to your specialist sector, encompassing both internal.
Examples of previous leadership or support roles in essential quality assurance activities.
**Qualifications:**
Qualifications required to apply for your chosen role at Pearson will depend on the qualification you are delivering. Please contact Pearson ahead of your application if you have any questions on the requirements.
**PLEASE NOTE**
If a candidate successfully passes the initial application screening, the recruitment team will contact them with details of the required supporting documentation and next steps in the process. Applicants will be asked to provide the following:
Evidence of vocational qualifications (e.g., BTEC)
Copies of all relevant subject-specific qualifications, including a qualification in the relevant subject area or sector
Proof of a minimum of two full academic years of teaching experience in the relevant subject area/sector within the last 8 years, and/or extensive knowledge and experience of Pearson assessment, quality processes, and national standards within the last 5 years
Evidence of relevant continuing professional development (CPD) in the subject area/sector within the last 12 months
Please note that applicants who do not provide the requested documentation when contacted will not progress to the next stage of the recruitment process.
**Application Information** We have a number of opportunities available for teaching professionals to join our growing teams of examiners, moderators and verifiers.
\#LI-KB1
**Purpose**
The Standards Verifier plays a key role in maintaining the integrity and consistency of vocational qualificationsby ensuring that assessment and internal verification practices meet national standards. This involves providing expert subject-specific support to centres, conducting sampling and verification activities, delivering clear and constructive feedback, and contributing to the ongoing development of quality assurance processes. Through regular training, collaboration with internal teams, and engagement with centres, the Standards Verifier helps uphold Pearson's commitment to high-quality, reliable assessment.
**Core Services**
When carrying out your role; please be mindful that you represent Pearson and that you should always maintain your professional integrity. Therefore, it is essential that you:
Ensure compliance with all parts of the terms and conditions and other policies.
Act at all times in a way which will not bring Pearson, it's employees and its representatives into disrepute.
Adhere to Pearson policies and guidance related to data privacy and security of information.
Remain respectful and advocate for others to ensure diversity, equity, and inclusion, in a professional manner.
Raise any concerns if you suspect or are made away of any malpractice, maladministration and/ or Safeguarding issues.
Adhere to deadlines given by Pearson and ensure that all work is carried out to the best of an individual's ability.
Respect the confidentiality of centres and learners.
You are responsible for the provision of your own IT equipment and must therefore ensure it is capable of running Pearson required software, relevant malware, appropriate anti-virus software and a suitable internet connection. As well as this we require a Personal email address attached to a secure account. (This cannot be a work email)
Collaborate and communicate in a timely manner with Pearson.
**Role Specific Services and Expectations**
In addition to Pearson's core service expectations, this role requires the following specialised responsibilities:
Stay up to date with relevant qualification specifications and, where applicable, National Occupational Standards.
Provide expert advice, guidance, and support tailored to your subject area and in line with verification requirements.
Attend and complete all mandatory training and annual standardisation activities within required timelines.
Conduct centre visits as required for qualifications involving visiting verification, following guidance from the Assessment team and subject to approval.
Adhere to Pearson's quality assurance processes and follow prescribed sampling strategies for allocated qualifications.
Review learner work and internal verification records to ensure accuracy and compliance.
Ensure assessment decisions are valid, consistent, and aligned with national standards.
Provide constructive feedback and support to centres during the sampling process.
Produce comprehensive and actionable sampling reports for each centre visited.
Clearly communicate when standards are not met and outline the necessary corrective actions.
Assist centres in addressing issues, implementing improvements, and maintaining ongoing compliance.
Identify and recommend suitable learner work or assessment materials for use in future training and standardisation events.
Maintain regular communication with your Pearson supervisor and work collaboratively with internal teams.
This role requires a proactive approach to quality assurance and a commitment to maintaining Pearson's high standards across all responsibilities.
**Experience and Qualifications** **required** **:**
**Experience:**
As a representative of the company, you will be expected to have experience in, or be able to demonstrate the ability of the following:
Strong background in quality assurance and assessment practices.
A minimum of2 full academic years of teaching experience in the relevant subject area/sector within the last 8 years and/or extensive knowledge and experience in Pearson assessment, quality and processes and national standards within the last 5 years .
**Please note** : As Artificial Intelligence is a relatively new specification/subject area, applicants are required to demonstrate teaching experience in a closely related subject which covers AI-related concepts, such as Computer Science, Information Technology, Digital Technologies, or similar disciplines.
Experience in verifying regulated qualifications.
Exceptional communication skills.
Proven ability to deliver and coordinate training sessions, including standardisation and other standards-focused activities.
In-depth knowledge of specifications relevant to your specialist sector, encompassing both internal.
Examples of previous leadership or support roles in essential quality assurance activities.
**Qualifications:**
Qualifications required to apply for your chosen role at Pearson will depend on the qualification you are delivering. Please contact Pearson ahead of your application if you have any questions on the requirements.
**PLEASE NOTE**
If a candidate successfully passes the initial application screening, the recruitment team will contact them with details of the required supporting documentation and next steps in the process. Applicants will be asked to provide the following:
Evidence of vocational qualifications (e.g., BTEC)
Copies of all relevant subject-specific qualifications, including a qualification in the relevant subject area or sector
Proof of a minimum of two full academic years of teaching experience in the relevant subject area/sector within the last 8 years, and/or extensive knowledge and experience of Pearson assessment, quality processes, and national standards within the last 5 years
Evidence of relevant continuing professional development (CPD) in the subject area/sector within the last 12 months
Please note that applicants who do not provide the requested documentation when contacted will not progress to the next stage of the recruitment process.
**Application Information** We have a number of opportunities available for teaching professionals to join our growing teams of examiners, moderators and verifiers.
\#LI-KB1
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