AI / Machine Learning Engineer – Agentic LLM Systems (Contract)

AI / Machine Learning Engineer – Agentic LLM Systems (Contract)

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

You will:

• Design and build tools, workflows, and infrastructure for agentic LLM systemsDevelop RAG pipelines, embeddings workflows, and retrieval systems for enterprise dataWork with researchers and engineers to diagnose and fix failures in agent-generated code and workflowsBuild frameworks for tool-calling, multi-step planning, orchestration, and agent routingIntegrate with LLM providers (OpenAI, Anthropic, Vertex AI, open-source models) and support multi-model usageDevelop backend services and APIs to support AI-driven applications and workflowsBuild and run experiments to improve reliability, latency, cost, and success ratesContribute to evaluation frameworks, observability, and monitoring of LLM/agent performance

What We’re Looking For:

• 4+ years’ experience in ML/AI engineering (LLMs, recommender systems, optimisation, or similar)Proven hands-on experience building LLM agents, RAG systems, or orchestrated AI workflows in productionStrong Python (with PyTorch, TensorFlow, or similar frameworks)Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar)Solid understanding of APIs, backend services, and microservices architecturesExperience working with cloud platforms (AWS, GCP, or Azure) and containerised systems (Docker, Kubernetes)Familiarity with event-driven or serverless architecturesExperience with CI/CD pipelines, testing, and infrastructure as codeComfortable debugging complex, distributed AI/ML systemsExperience running and analysing large-scale experiments and performance metrics (latency, accuracy, cost)Exposure to monitoring/observability tools for production systems

Nice to Have:

• Experience with multi-agent systems or distributed AI architecturesExperience optimising LLM usage across multiple providers (cost/performance trade-offs)Familiarity with vector databases (Pinecone, Weaviate, OpenSearch, etc.)Experience integrating AI systems into enterprise platforms or business workflows

Contract Details:

• £550 – £700 Per Day (Inside IR35)6 Months Initial Contract | + ExtensionsHybrid | London

Company:

Experis UK

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, Recommendation System, United Kingdom