Machine Learning Quality Engineer

London Stock Exchange · Financial Services · Stock Exchanges & Market Infrastructure · Python · 1 day ago
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Salary
≈ $76k – $203k per year (Estimated)
Location
In office (London)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Jul 23, 2026. London Stock Exchange scores A on the Alion truth index.

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London Stock Exchange

Headquartered in London, United Kingdom, the London Stock Exchange is one of the world's oldest and most prominent financial exchanges. It provides international capital markets, premier listing venues such as the Main Market and AIM, and electronic trading infrastructure for equities, bonds, and exchange-traded funds. As a core subsidiary of the London Stock Exchange Group, it connects global issuers with investors to facilitate efficient capital formation, market liquidity, and economic growth.
londonstockexchange.com · HQ: London, United Kingdom · Financial Services · Financial Data & Market Intelligence · Stock Exchanges & Market Infrastructure · 1001-5000 employees
Tech stack of London Stock Exchange

Join the Corporate Engineering AI team at LSEG, where you'll play a key role in scaling safe, high-quality AI capabilities across the enterprise. As a Machine Learning Quality Engineer, you'll define and implement evaluation frameworks, build and maintain automated test pipelines, and partner with ML Engineers to embed testability and evaluation hooks into MCP servers and Skills. Strong Python experience and expertise in test automation are required.

Missions

  • Definir e implementar frameworks de avaliação para ferramentas e habilidades de MCP, abrangendo correção, segurança e impacto de regressão.
  • Construir e manter pipelines de teste automatizados para comportamentos agenticos, incluindo invocação de ferramentas e fluxos de trabalho de múltiplas etapas.
  • Produzir evidências de teste necessárias para o Permissão para Construir (PTB) e Permissão para Operar (PTO).

Profil recherché

- Strong Python experience for test harnesses and automation

- Experience with LLM and RAG 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

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