At a Glance
- Tasks: Design and build AI tools that connect enterprise systems to intelligent agents.
- Company: Join LSEG, a leading global financial markets infrastructure provider.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Be part of a diverse team committed to sustainability and community support.
- Why this job: Make a real impact in AI while working in a collaborative and innovative environment.
- Qualifications: Strong Python skills and experience with AI frameworks and API design.
The predicted salary is between 80000 - 98000 £ per year.
The Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team’s mission is to scale safe, high‑quality AI capabilities across the enterprise by providing shared platforms, patterns, governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway.
Rather than delivering individual business use cases end‑to‑end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions to AI agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‑service contribution.
This programme delivers an LSEG‑owned, production‑grade agentic AI platform with MCP as its extensibility layer. The scope of work includes:
- Building and operating LSEG AI Assist, an in‑house agentic experience capable of reasoning, planning, and tool‑calling.
- Operating QAS, the enterprise RAG and search layer used to ground agent responses in approved data sources.
- Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability, and lifecycle management for MCP tools and Skills.
- Designing and building MCP servers and Skills that expose internal and vendor systems safely to agents.
- Establishing evaluation, quality control, and governance mechanisms so MCP tools and Skills can be promoted through PTB/PTO and operated with confidence at scale.
The programme follows a “build for” model today, with a strong emphasis on defining the future product and platform experience, patterns, and contribution pathways that will enable federated scale over time.
Responsibilities
- Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.
- Implement Skills that orchestrate tools, data, and reasoning into repeatable, governed workflows.
- Contribute to the LSEG AI Assist agentic harness, including planning, tool‑calling, and orchestration logic.
- Build secure API wrappers where backend systems lack suitable authentication or entitlement models.
- Work closely with product teams in a “build for” capacity, transferring knowledge and establishing reusable patterns.
- Shape the developer experience for MCP and Skills, including templates, contribution guidance, and standards.
- Collaborate with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations.
Skills
- Strong Python development experience.
- Hands‑on experience with LLM and agent frameworks and agentic reasoning patterns.
- Practical understanding of Model Context Protocol (MCP), including server and tool patterns.
- FastAPI and REST API design and implementation experience.
- Experience with prompt engineering and RAG‑based architectures.
- Containerisation and Kubernetes‑based deployment experience.
- Ability to work across platform, product, and governance boundaries in an enterprise environment.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Senior ML Engineer in London employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
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