ml engineer for agentic AI platforms

LSEG is a global financial markets infrastructure and data provider. Its Corporate Engineering AI team delivers shared platforms, patterns, governance, and support for an internal agentic AI ecosystem.

• 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.

• 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 offers healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.