Machine Learning Engineer – Agentic LLM Systems (Contract)

Machine Learning Engineer – Agentic LLM Systems (Contract)

We’re working with a leading tech organisation building agentic AI systems – LLMs that can plan, reason, call tools, and write/execute code. We’re hiring a Machine Learning Engineer to help design and scale these systems into production.

Role Overview: You’ll focus on making LLM agents reliable, scalable, and useful in real products.

You will:

• Design and build tools, workflows, and infrastructure for agentic LLM systems
• Work with researchers to diagnose and fix failures in agent-generated code
• Develop frameworks for tool-calling, multi-step planning, and orchestration
• Build and run experiments to improve reliability, latency, and success rates

What We’re Looking For

• 4+ years’ experience in ML/AI (LLMs, recommender systems, optimisation, or similar)
• Proven hands-on work with LLM agents / tool-using models / orchestrated workflows
• Strong Python with PyTorch or TensorFlow
• Comfortable debugging complex, distributed ML systems
• Experience running and analysing large-scale ML experiments
• Master’s (or PhD) in Computer Science, AI, ML, or related field

Nice to have:

• Experience with LangChain, LangGraph, or similar orchestration frameworks
• Research track record (publications, Kaggle, or open-source)
• Backend experience (APIs) and some frontend (React/JavaScript) for internal tools

Contract Details:

• Outside IR35
• 6–12 months (long-term extensions)
• Remote (UK-based candidates only)

Please apply for immediate consideration.