AI / Machine Learning Engineer – Agentic AI & LLM
Posted Today by Experis UK
£450 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The role of Machine Learning Engineer focuses on designing and scaling agentic AI systems, specifically large language models (LLMs) that can perform complex tasks such as planning and executing code. The engineer will collaborate with researchers to enhance system reliability and efficiency while developing necessary frameworks and tools. This position requires a strong background in machine learning and experience with LLMs. The contract is for an initial period of six months with potential extensions.
Key Responsibilities:
- 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
Key Skills:
- 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
Salary (Rate): £450 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
AI | 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. 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
Contract Details: £400 - £450 Per Day (Outside IR35) 6 Months Initial Contract | + Extensions Hybrid | London Please apply for immediate consideration.