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.