Senior ML Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+1 more
Job description
The Corporate Engineering AI team is the central enablement and platform delivery function for LSEGâs internal agentic AI ecosystem. The teamâs 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 âforâ product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self-service contribution.
LSEG AI Assist / Internal MCP Programme of Work
This programme delivers an LSEG-owned, production-grade agentic AI platform with MCP as its extensibility layer.
- 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 âbuild forâ 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., * 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 âbuild forâ 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.
Requirements
- 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.
About the company
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 purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
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 anyoneâs 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 applicantsâ and employeesâ 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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role â technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Dev Digest 210: AI Agents Are Go! Is MCP Dead? LLMs Crack Anonymity
Everything a Developer Needs to Know About MCP with Neo4j
From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path
MLOps And AI Driven Development