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Senior ML Engineer
LSEG (London Stock Exchange Group)Senior ML Engineer responsible for building AI-driven server and tool capabilities at LSEG. Collaborating with product teams to enhance the use of AI technology in enterprise systems.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python development, LLM and agent frameworks, and Model Context Protocol (MCP) to design and implement secure APIs and orchestrate workflows. Collaborates effectively across teams to enhance developer experience and ensure operational readiness in enterprise environments.
Highest-signal resume keywords
Python DevelopmentLLM FrameworksModel Context Protocol (MCP)FastAPI and REST API DesignContainerisation and Kubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Python DevelopmentAPI DesignPrompt EngineeringRAG-Based ArchitecturesMCP UnderstandingTool OrchestrationWorkflow GovernanceSecure API WrappersContainerisationKubernetes Deployment
Soft Skills
CollaborationKnowledge TransferProblem Solving
Tools & Technologies
FastAPIREST APIKubernetesAI AgentsAgentic Reasoning
Industry Keywords
Enterprise SystemsGovernanceOperational ReadinessDeveloper ExperienceQuality Engineering
Tech Stack
Tools & technologiesKubernetesPython
About the role
Key responsibilities & impact- Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.
- Implement Skills that orchestrate tools, data, and reasoning into repeatable, governed workflows.
- Contribute to the LSEG AI Assist agentic harness, including planning, tool-calling, and orchestration logic.
- Build secure API wrappers where backend systems lack suitable authentication or entitlement models.
- Work closely with product teams in a “build for” capacity, transferring knowledge and establishing reusable patterns.
- Shape the developer experience for MCP and Skills, including templates, contribution guidance, and standards.
- Collaborate with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations.
Requirements
What you’ll need- 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.
- Experience with prompt engineering and RAG-based architectures.
- Containerisation and Kubernetes-based deployment experience.
- Ability to work across platform, product, and governance boundaries in an enterprise environment.
Benefits
Comp & perks- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives