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.