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Experis UK

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

London
£550 – £700/day
Posted about 19 hours ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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
  • Comfortable debugging complex, distributed AI/ML systems
  • Experience running and analysing large-scale experiments and performance metrics (latency, accuracy, cost)
  • Exposure to monitoring/observability tools for production systems

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Nice to Have:

  • Experience with multi-agent systems or distributed AI architectures
  • Experience 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 | + Extensions
  • Hybrid | London

Please apply for immediate consideration.

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Location

London, England, United Kingdom

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