226 AI Specialists jobs in London
Senior AI Engineer - Generative AI and Search - Artificial Intelligence
Posted 1 day ago
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Job Description
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.
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.
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
Business Development Manager- AI
Posted today
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Job Description
This Business Development Manager- AI role sits in a leading global law firm and you will work across AI as a core area within a number of sectors and practice groups. You will work with a strong global network of Business Development professionals and senior partners to shape and execute the global AI BD strategy.
The Business Development Manager- AI will lead the approach on AI BD, with pitches, .
WHJS1_UKTJ
AI Tech Development Manager - London, Greater London
Posted today
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Job Description
Summary
SummaryWe are seeking a highly skilled and visionary AI Technology & Engineering Manager to lead the build of our AI technology initiatives within the Data & AI department. This role combines strategic leadership with hands-on technical oversight, responsible for building, scaling, and maintaining AI systems that drive data-driven decision-making and intelligent automation across the organisation.
You will collaborate closely with product teams, peers in architecture, data and ML engineering to build and operationalise AI solutions, lead technology roadmaps, and ensure the technical delivery of AI solutions across the enterprise.
All the details
What’s in it for you
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special…
- After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
- Competitive holiday entitlement with the potential to buy extra holiday days!
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
- A generous Defined Contribution Pension Scheme and Life Assurance.
- A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
- Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
- Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
- Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
- A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.
What you'll do
- Define the Strategy – Shape and lead the technical vision for how M&S will harness AI to drive enterprise-wide productivity and innovation.
- Solve Business Challenges – Apply AI to address real business problems, enabling teams to self-serve insights and solutions wherever possible.
- Build Scalable Solutions – Lead and manage a team delivering AI solutions, whether developed in-house or sourced externally, at scale across M&S.
- Design the Operating Model – Establish a scalable and adaptable operating model encompassing people, processes, and technology to support rapid evolution.
- Drive Continuous Improvement – Champion a culture of steadfast efficiency, embedding AI into every facet of operations to unlock ongoing value
Who you are
- Proactive Attitude – A dynamic, high-energy leader with a contagious enthusiasm for pushing technological boundaries to elevate business performance.
- Visionary Leadership – A seasoned leader with a validated ability to build and lead high-performing AI-focused teams from the ground up.
- Strategic AI Expertise – Deep conceptual understanding of AI within the data landscape, with the confidence to challenge and guide technology decisions that deliver maximum value to M&S.
- Industry Insight – Extraordinarily well-connected to the constantly evolving AI ecosystem, staying ahead of market trends and emerging innovations.
- Collaborative Influence – Skilled at encouraging cross-functional partnerships to unite top talent around solving complex business challenges through AI driven solutions.
Everyone's welcome
We are ambitious about the future of retail. We’re redefining, innovating and leading the industry into a more diligent, inspiring digital era. We’re reconsidering how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
AI Content Expert (German), Artificial General Intelligence
Posted 3 days ago
Job Viewed
Job Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
This is a Fixed term contract.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in German and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of German and U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and
AI Content Expert (German), Artificial General Intelligence
Posted 3 days ago
Job Viewed
Job Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
This is a Fixed term contract.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in German and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of German and U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and
AI Content Expert (German), Artificial General Intelligence
Posted 3 days ago
Job Viewed
Job Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
This is a Fixed term contract.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in German and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of German and U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and
Ai Engineer
Posted today
Job Viewed
Job Description
We're looking for an experienced AI Consultant / Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems.
If you're passionate about AI, thrive in fast-moving environments, and love building innovative solutions from scratch, this could be the perfect role for you.
What you'll be doing
Building and refining LLM-based agents, including retrieval-augmented generation and data retrieval systems.
Designing AI-powered system architecture using Python, Java, and SQL/NoSQL databases.
Fine-tuning models (LLMs & SLMs) and developing machine learning applications to drive measurable results.
Staying ahead of open-source AI trends and integrating the best tools into the tech stack.
Prototyping, testing, and refining AI applications to improve accuracy and performance.
Writing clean, modular Python code and performing rapid data processing and feature engineering.
Identifying and prioritising opportunities for AI implementation based on business needs and feedback.
Translating complex technical concepts into clear, accessible explanations for stakeholders.
What we're looking for
Essential:
Strong experience with Gen AI, NLP, and machine learning.
Proven ability to create, train, and fine-tune LLMs/SLMs.
Skills in prompt engineering and RAG (retrieval-augmented generation).
Solid background in Python, Java, and database technologies (SQL/NoSQL).
Experience in crawling/web scraping and API development.
Experience with on-premise AI development (local LLMs, model deployment, open-source frameworks).
Desirable:
Strong knowledge of data structures, algorithms, and solution architecture.
Broad understanding of machine learning algorithms and principles.
What's on offer
Salary: 60,000 - 70,000 DOE
25 days' annual leave +
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Ai Engineer
Posted today
Job Viewed
Job Description
We're looking for an experienced AI Consultant / Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems.
If you're passionate about AI, thrive in fast-moving environments, and love building innovative solutions from scratch, this could be the perfect role for you.
What you'll be doing
Building and refining LLM-based agents, including retrieval-augmented generation and data retrieval systems.
Designing AI-powered system architecture using Python, Java, and SQL/NoSQL databases.
Fine-tuning models (LLMs & SLMs) and developing machine learning applications to drive measurable results.
Staying ahead of open-source AI trends and integrating the best tools into the tech stack.
Prototyping, testing, and refining AI applications to improve accuracy and performance.
Writing clean, modular Python code and performing rapid data processing and feature engineering.
Identifying and prioritising opportunities for AI implementation based on business needs and feedback.
Translating complex technical concepts into clear, accessible explanations for stakeholders.
What we're looking for
Essential:
Strong experience with Gen AI, NLP, and machine learning.
Proven ability to create, train, and fine-tune LLMs/SLMs.
Skills in prompt engineering and RAG (retrieval-augmented generation).
Solid background in Python, Java, and database technologies (SQL/NoSQL).
Experience in crawling/web scraping and API development.
Experience with on-premise AI development (local LLMs, model deployment, open-source frameworks).
Desirable:
Strong knowledge of data structures, algorithms, and solution architecture.
Broad understanding of machine learning algorithms and principles.
What's on offer
Salary: 60,000 - 70,000 DOE
25 days' annual leave +
AI Engineer
Posted today
Job Viewed
Job Description
My Financial Services client is seeking to recruit a AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week.
As a Back-End AI Engineer, you will design and deploy secure, scalable AI services that power next-generation use cases across client intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the
AI Attorney
Posted today
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Job Description
Stott & May is representing an Artificial Intelligence Legal Startup
We are looking for talented lawyers with a background in Capital Markets, Leveraged Finance, or Litigation to join a product-focused solutions team, comprised of former Magic Circle and AmLaw 50 lawyers who studied the law at Cambridge, UCL, Harvard, Yale, and more.
You will be taking the lead role in developing use-cases and products from ideation through to implementation for legal departments at some of the world's best-known law firms, hedge funds, and banks.
The Role
Sitting at the intersection of law and technology. This is perfect for high-performing attorneys eager to apply their legal knowledge in a practical role that is closer to the product, and will lead the industry in minimizing the administrative, operational tasks fund's lawyers are tasked with each day, that take them away from adding value.
You will work closely with General Counsel and Managing Partner-level customers, guiding and advising them on the strategy and best practices concerning leveraging artificial intelligence to deliver solutions and business outcomes for their organization.
Your day-to-day will include:
- Acting as a legal subject matter expert from a legal perspective, contributing actively to the product development lifecycle.
- Translating complex legal and business problems into actionable insights and becoming a trusted advisor and authority to clients.
- Collaborating with cross-functional teams, including AI engineers, product specialists, and client engagement teams, to enhance client experiences and drive platform improvements.
- Preparing and delivering tailored insights, client presentations, and in-depth analyses of regulatory frameworks.
- Engaging in strategic initiatives to elevate our brand, crafting metrics-driven content that reinforces our mission and impact.
You'll be a great fit if:
- A J.D., LLM, or equivalent from a top law school and 5–15 years of experience at a Global 100 firm
- Extensive knowledge of the funds industry, with a proven background and confidence dealing with CxO stakeholders
- A passion for technology and artificial intelligence, with a strong desire to use your experience to bridge the gap between law and technology
- Outstanding communication and interpersonal skills, with the ability to engage diverse stakeholders.
- A technical background would be helpful, but it is not needed to succeed.
**Please note this is a product-facing position, that will not be formally practising the law**