Experis UKAbout this role
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 systems
Develop RAG pipelines, embeddings workflows, and retrieval systems for enterprise data
Work with researchers and engineers to diagnose and fix failures in agent-generated code and workflows
Build frameworks for tool-calling, multi-step planning, orchestration, and agent routing
Integrate with LLM providers (OpenAI, Anthropic, Vertex AI, open-source models) and support multi-model usage
Develop backend services and APIs to support AI-driven applications and workflows
Build and run experiments to improve reliability, latency, cost, and success rates
Contribute 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 production
Strong Python (with PyTorch, TensorFlow, or similar frameworks)
Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar)
Solid understanding of APIs, backend services, and microservices architectures
Experience working with cloud platforms (AWS, GCP, or Azure) and containerised systems (Docker, Kubernetes)
Familiarity with event-driven or serverless architectures
Experience with CI/CD pipelines, testing, and infrastructure as code
Experience 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 architectures
Familiarity with vector databases (Pinecone, Weaviate, OpenSearch, etc.)
Experience integrating AI systems into enterprise platforms or business workflows
6 Months Initial Contract | + Extensions
Hybrid | London
Company:
Experis UK
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying