95 Tensorflow jobs in London

AI (artificial intelligence) DevOps Engineer Azure Kubernetes Service (AKS),

Brilliant new opportunity for a AI DevOps Engineer with expertise in Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything

Role details

• Title : AI (artificial intelligence) DevOps Engineer
• Location: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybrid
• Permanent role- salary 70,000- 90,000

About the job

An exciting opportunity for a talented AI DevOps Engineer, you will focused on looking at areas where AI can add improvements, as everything is being custom built rather than off the shelf

As an AI DevOps Engineer, you will be responsible for building and managing scalable, secure infrastructure for our multi-agent AI orchestration platform. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation

We do have other artificial intelligence roles in the team including AI (artificial intelligence) test Engineer roles, so please do send through a CV still if that is more in line with your expectations

What are the key expectations of this role?

• This role involves working across multiple Azure regions (UK South, Sweden Central, East US) to ensure high availability, secure deployments, and efficient agent orchestration using AKS.

• You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance.

• You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration with Azure API Management and Application Gateway.

Skills, Knowledge & Experience

• Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA
• Infrastructure-as-code using Bicep or ARM templates
• Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps)
• API Gateway, Azure API Management (APIM), Azure Application Gateway
• Monitoring tools such as Prometheus, Grafana, and Azure Monitor
• Understanding of secure multi-region deployments and network segmentation

Remote Working

Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)

This is a brilliant opportunity for a talented AI DevOps Engineer to join this business as they are genuinely growing and developing for a world class artificial intelligence AI Platform

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Our client, a prestigious university in London, England, UK , is seeking a highly qualified and passionate Senior Lecturer to contribute to its cutting-edge Artificial Intelligence program. This role offers a dynamic hybrid working arrangement, blending engaging on-campus teaching with flexible remote research and administrative duties.

Responsibilities:

• Deliver high-quality lectures and tutorials in various areas of Artificial Intelligence, including machine learning, deep learning, natural language processing, and computer vision, to undergraduate and postgraduate students.
• Conduct independent and collaborative research in Artificial Intelligence, aiming for publication in leading academic journals and conferences.
• Supervise postgraduate research students (Masters and PhD) and guide their academic and research development.
• Develop and update course curricula, teaching materials, and assessment methods to ensure relevance and academic rigor.
• Contribute to the departmental administration, including committee work, student advising, and program development.
• Foster a stimulating and inclusive learning environment for students.
• Seek external funding for research projects through grant applications.
• Engage in outreach activities to promote AI education and research within the wider community.
• Contribute to the enhancement of the university's reputation in the field of Artificial Intelligence.

Qualifications:

• A PhD in Computer Science, Artificial Intelligence, or a closely related field.
• A strong research record with demonstrable publications in reputable AI conferences and journals.
• Proven experience in university-level teaching and curriculum development.
• Experience in supervising postgraduate research students.
• Excellent communication, presentation, and interpersonal skills.
• Demonstrated ability to attract research funding.
• A passion for AI education and research excellence.
• Familiarity with current trends and advancements in AI.
• Ability to work effectively in a hybrid academic environment.

This is an exciting opportunity for an experienced academic to join a leading institution and contribute to the advancement of Artificial Intelligence education and research.

AI (artificial intelligence) Test Automation Engineer

Brilliant new opportunity for a AI Test Automation Engineer with expertise in Test automation frameworks to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything

Role details

• Title : AI (artificial intelligence) AI Test Automation Engineer
• Location: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybrid
• Permanent role- salary 70,000- 90,000

About the job

As the AI Test Automation Engineer, you will design and implement automated testing frameworks to validate the safety, reliability, and robustness of AI agents across our orchestration platform. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation

Skills, Knowledge & Experience

• Test automation frameworks (e.g., PyTest, Postman, Playwright, k6)
• LLM behaviour testing, including misuse and injection detection
• CI/CD integration with Azure DevOps for continuous testing
• Python/YAML scripting for scenario and agent validation

Remote Working

• Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)
  

This is a new and exclusive opportunity and a great chance to join this business as they are thriving and growing

For more information, and the chance to be considered, please do send through a CV

Good luck

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Senior GenAI Platform Engineer - Artificial Intelligence Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ 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 Artificial Intelligence (AI) 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 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable. 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 technicalernance to upstream collaboration, we aremitted 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 both GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms Collaborate with open-sourcemunities 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 inputer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding ofputer 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 technologymunity and you can read more about our outreach at: Job ID 3171_

Senior ML Research Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ 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
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Europe, the Middle East and Africa). Alternatively, you can get support from our disability partner EmployAbility, please contact or
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

Senior GenAI Platform Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ 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 Artificial Intelligence (AI) 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 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.
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 both 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:
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

Senior Quantitative Engineer - Fixed Income - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you'll design and implement advanced models that leverage modern ML and statistical techniques on top of novel technology stacks and vast data sources to accurately price millions of securities. We are heavily invested in data-driven solutions that combine statistical and machine learning solutions to price diverse asset classes, with a strong focus on Fixed Income. Building on the success of modern ML-based pricing solutions such as IBVAL, we are expanding our group to tackle more ambitious challenges in Fixed Income modeling. In this role, you will contribute novel modeling ideas and bring them to life by writing clean, modular, production-quality code for cloud-native environments, ensuring your work makes a tangible impact.
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.
Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Europe, the Middle East and Africa). Alternatively, you can get support from our disability partner EmployAbility, please contact or
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

Senior ML Platform Engineer (London) - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ 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 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.
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:
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

Our client, a prestigious Russell Group university, is seeking an accomplished Senior Lecturer to join their esteemed Department of Computer Science in **London, England, UK**. This academic role is central to the university's mission of advancing knowledge and providing world-class education. Specialising in Artificial Intelligence, you will be responsible for delivering engaging lectures, conducting cutting-edge research, supervising postgraduate students, and contributing to the strategic development of the AI curriculum. This hybrid position offers a dynamic academic environment with opportunities for significant scholarly impact.

Key Responsibilities:

• Deliver high-quality teaching and assessment across undergraduate and postgraduate modules in Computer Science, with a focus on Artificial Intelligence and Machine Learning.
• Develop and update course content, ensuring it reflects the latest advancements in AI and industry best practices.
• Conduct independent, high-impact research in AI, publishing findings in leading international journals and conferences.
• Supervise and mentor PhD and Master's students, guiding their research projects to successful completion.
• Contribute to the strategic direction and growth of the AI research group and the broader Computer Science department.
• Seek and secure external research funding through grant applications.
• Engage in administrative duties, including module leadership, committee participation, and contributing to departmental planning.
• Foster collaborations with industry partners and other academic institutions.
• Promote the university's research and teaching excellence externally.
• Uphold the university's commitment to diversity, inclusion, and academic integrity.

Essential Qualifications & Experience:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• A strong track record of research output, evidenced by high-quality publications in reputable venues.
• Proven experience in teaching Computer Science at university level, with demonstrable expertise in AI-related subjects.
• Experience in supervising postgraduate research students.
• Ability to attract research funding and manage research projects.
• Excellent communication, presentation, and interpersonal skills.
• A clear vision for future research in AI and its potential impact.
• Demonstrated ability to work collaboratively within an academic team.
• Commitment to professional development and academic citizenship.

This is an outstanding opportunity for an experienced academic or researcher to make a significant contribution to AI education and research within a globally recognised institution. Join our client's vibrant academic community in **London** and help shape the future of AI.