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LSEG

Global financial market infrastructure and data

Machine Learning Quality Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Strong Python experience for test harnesses and automation.
  • Experience with large language model and retrieval-augmented generation evaluation frameworks or custom evaluation pipelines.
  • Test automation expertise covering unit, integration, and regression testing.
  • Understanding of agentic system risks and failure modes.
  • Ability to assess solutions against governance, security, and audit expectations.
  • Experience working in regulated or highly governed engineering environments.

Responsibilities

  • Define and implement evaluation frameworks for MCP tools and Skills covering correctness, safety, and regression impact.
  • Build and maintain automated test pipelines for agentic behaviours, including tool invocation and multi-step workflows.
  • Evaluate and mitigate agentic failure modes such as hallucination, tool misuse, invalid inputs, and latency amplification.
  • Produce testing evidence required for Permit to Build (PTB) and Permit to Operate (PTO).
  • Partner with ML Engineers to embed testability and evaluation hooks into MCP servers and Skills.
  • Help define the long-term quality and governance model for federated MCP contributions across LSEG.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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