Top Tech Jobs & Startup Jobs in London

Lead first-line technology risk and operational resilience across DSM, FX, and Risk Intelligence. Own control frameworks, governance, incident remediation, third-party and cloud risk, regulatory responses, risk reporting, and build a high-performing technology risk team to embed resilience across engineering.

Define and implement evaluation frameworks and automated test pipelines for agentic AI (MCP tools and Skills). Test tool invocation, multi-step workflows, and mitigate failure modes (hallucination, misuse, latency). Produce evidence for PTB/PTO, partner with ML engineers to embed testability, and shape long-term quality and governance for federated MCP contributions.

Design, build, and operate agentic AI platform components (MCP servers, Skills, QAS). Implement agent orchestration, tool‑calling, secure API wrappers, and RAG-based integrations. Collaborate with product teams, QA, and SRE to ensure governed, production-ready deployment and developer experience for enterprise AI agents.

Define, document, and govern architecture for enterprise agentic AI platforms (LLM, RAG, MCP). Drive designs through governance, engage risk/privacy/compliance, ensure security/resilience/observability, and partner with ML, Quality, and SRE to make solutions production-ready.

Lead the data science organization to deliver AI products, mentoring teams and executing a strategic vision for machine learning applications.

Lead the design and development of LSEG's AWS AI platform, ensuring security, scalability, and governance while mentoring engineering teams.

The Lead Engineer will develop secure, scalable backend and frontend systems, establish coding standards, mentor engineers, and lead AI integration efforts while ensuring quality delivery.

Own end-to-end product capabilities for identity verification, shape strategy, gather customer and market insight, drive execution with engineering and commercial teams, and manage external data partner relationships to improve platform performance and compliance.

Lead the technical direction for cloud infrastructure and delivery platforms, architect and operate secure, scalable Azure/AWS environments, design CI/CD and IaC, productionize AI solutions, own incident response and reliability improvements, and provide hands-on technical leadership and standards across teams.

Lead Product Engineer responsible for technical leadership, product development, cloud architecture, AI integration, prototyping, and problem-solving in a data engineering context.