Lead Machine Learning Engineer
- London, United Kingdom
- Lead/Staff
- Posted
Skills
Required
- Python development
- LLM
- agent frameworks
- Model Context Protocol MCP
- agentic reasoning patterns
- server and tool patterns
- FastAPI
- REST API design and
- Containerisation
- Kubernetes‑based deployment
- prompt engineering
- RAG‑based architectures
Preferred
- AI
- LSEG
- quality control
- AI Assist
Join LSEG's Corporate Engineering AI team as a Lead Machine Learning Engineer. In this role, you will be responsible for scaling safe, high-quality AI capabilities across the enterprise. You will own and operate core AI platforms, deliver a production-grade agentic AI platform, and establish evaluation, quality control, and governance mechanisms. The ideal candidate will have strong Python development experience, hands-on experience with LLM and agent frameworks, and practical understanding of Model Context Protocol (MCP).
Responsibilities
- Lead the development and operation of core AI platforms, including LSEG AI Assist and the Question Answering Service (QAS).
- Define standards, patterns, and platform capabilities that allow product teams to progressively move towards self-service contribution.
- Establish evaluation, quality control, and governance mechanisms so MCP tools and Skills can be promoted through PTB/PTO and operated with confidence at scale.
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
- Containerisation and Kubernetes‑based deployment experience
- Experience with prompt engineering and RAG‑based architectures
- Ability to work across platform, product, and governance boundaries in an enterprise environment