CareerPlan

Machine Learning Quality Engineer

London, England, GBFull-time2026-11-02 → 2026-11-10

Core

Define evaluation frameworks, build automated test pipelines, and mitigate agentic failure modes for LSEG's internal agentic AI ecosystem and MCP tools.

Role type

Senior IC machine learning quality engineer (agentic AI/MCP)

Builds

Production-grade agentic AI platform (LSEG AI Assist, QAS, Internal MCP Gateway) and evaluation/governance mechanisms

Domain

Financial markets infrastructure + Agentic AI / LLM / RAG

Deliverable

production ML models

Required skills

Python, LLM and RAG evaluation frameworks, test automation (unit/integration/regression), agentic system risk assessment, governance and security auditing

Preferred skills

Experience in regulated engineering environments

Technologies

Python, MCP (Model Context Protocol), LLM, RAG

Responsibilities

Define evaluation frameworks for correctness, safety, and regression; Build automated test pipelines for agentic behaviors; Evaluate and mitigate agentic failure modes (hallucination, tool misuse); Produce testing evidence for Permit to Build/Operate; Partner with ML Engineers to embed testability hooks; Define long-term quality and governance models

Seniority

Senior, hands-on IC