Bloomberg

Global financial data, news, analytics provider

Senior AI Engineer - Generative AI & Search, Artificial Intelligence

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

Proven practical experience solving real-world problems using Generative AI, large language models, natural language processing and agentic AI technologies, including building or evaluating LLM-powered applications or agents.
Experience in one or more of tool use and function calling, agent orchestration, multi-step workflows, automated evaluation, LLM-as-a-judge methodologies, guardrails, observability or human-in-the-loop evaluation.
Significant industry experience or a relevant academic background, such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics or Engineering. Practical ability and a demonstrated track record of delivering impactful results are valued over formal academic qualifications.
Proficiency in enterprise-grade software engineering practices and principles, including fundamentals in data structures and algorithms and a data-driven problem-solving approach.
Ability to collaborate effectively with technical peers and business stakeholders to align technical solutions with client needs.

Responsibilities

Develop and deploy robust LLM-powered and agentic AI systems; curate high-quality data and tasks for model development and evaluation; and build evaluation frameworks supporting rapid iteration and continuous improvement based on real-world user interactions.
Design and implement tools that enable AI agents to handle complex client requests, interact with tools and APIs, and complete multi-step workflows; shape the generative AI ecosystem and scale solutions to support thousands of users.
Build comprehensive evaluations of LLM-powered applications and agents, including task completion, tool-use accuracy, response quality, reliability, safety, latency and cost.
Use traditional machine learning and Generative AI to prototype, build and maintain high-performing, client-facing applications delivering timely and relevant financial insights.
Build robust APIs and infrastructure for model interaction, agent orchestration and tool integration, maintaining system stability, observability and reliability.
Collaborate with 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 LLM-powered and agentic AI systems using machine learning innovation and sound software engineering practices.
Identify areas for improvement in AI systems, experiment with new ideas, and implement promising solutions, including engineering improvements without direct machine learning involvement.
Design, train, evaluate, test and iterate on models, agents and algorithms; own their lifecycle from inception through deployment, monitoring and operationalization.
Develop rigorous evaluation methodologies for AI agents using automated, model-based and human evaluation as appropriate.
Follow research in Generative AI, natural language processing, agentic systems and LLM evaluation, and incorporate relevant innovations into practical solutions.
Represent Bloomberg at industry events, scientific conferences and in open-source communities.

Bloomberg’s Engineering AI department has 450+ AI practitioners building highly sought-after products and features that often require novel innovations. We are investing in AI to build better client experiences and intelligent financial workflow solutions using technologies such as transformers, large language models, agentic architectures and modern evaluation frameworks. We're looking for highly skilled Machine Learning and Software Engineers to join us.

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 Generative AI, large language models, NLP and agentic AI systems to join our AI Engineering team. Our teams are working on exciting initiatives such as:

Developing and deploying robust LLM-powered and agentic AI systems, curating high-quality data and tasks for model development and evaluation, and building evaluation frameworks that enable rapid iteration and continuous improvement based on real-world user interactions.
Designing and implementing tools that enable AI agents to handle complex client requests, interact effectively with tools and APIs, and complete multi-step workflows, while shaping Bloomberg’s generative AI ecosystem and scaling these solutions to support thousands of users.
Building comprehensive evaluation approaches for LLM-powered applications and agents, covering areas such as task completion, tool-use accuracy, response quality, reliability, safety, latency and cost.
Leveraging both traditional ML approaches and Generative AI to prototype, build and maintain high-performing, client-facing applications that deliver timely and relevant financial insights.
Building robust APIs and infrastructure to support model interaction, agent orchestration and tool integration, while maintaining system stability, observability 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 LLM-powered and agentic AI systems, emphasizing both ML innovation and solid software engineering practices.
Continuously identify areas for improvement within our AI systems, proactively experiment with new ideas, and rapidly implement promising solutions, even when improvements rely purely on engineering without direct ML involvement.
Design, train, evaluate, test and iterate on models, agents and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment, monitoring and operationalization.
Develop rigorous evaluation methodologies for AI agents, combining automated, model-based and human evaluation approaches where appropriate.
Stay at the forefront of research in Generative AI, NLP, agentic systems and LLM evaluation, 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 Generative AI, large language models, NLP and agentic AI technologies, including experience building or evaluating LLM-powered applications or agents.
Experience with one or more areas such as tool use and function calling, agent orchestration, multi-step workflows, automated evaluation, LLM-as-a-judge methodologies, guardrails, observability or human-in-the-loop evaluation.
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] http://www.techatbloomberg.com/ai

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 podcast series for an inside look at our culture, values, and the people behind our success.

About the Company

Bloomberg

Global financial data, news, analytics provider

Bloomberg provides financial data, news, and analysis to help professionals make informed decisions and operate more transparently and efficiently. Its products deliver trusted information and insights through technology platforms that connect global financial communities, enable collaboration, and support decision-making. The company differentiates itself by offering broad, reliable data and news across markets, strong customer focus, and a culture that emphasizes collaboration, broad perspective, and doing the right thing for clients, people, and communities. Bloomberg’s goal is to improve market transparency and efficiency by delivering accurate information and tools that empower customers to act confidently and ethically.

Company size: 10,001+
Company stage: Not listed
Total funding: Not listed
Headquarters: New York City, New York
Founded: 1981

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