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Staff ML Engineer | Contract | London | Inside IR35

City of London
£750 – £900/day
Posted about 19 hours ago
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Staff ML Engineer | Agentic AI | ML Engineering | London (3 days per week on-site) | Contract | Inside IR35

We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function.

Rather than building AI capability from scratch, the organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. The challenge now is driving consistent adoption, establishing engineering standards and enabling multiple engineering teams to build production-ready AI solutions using common patterns and best practice.

This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation.

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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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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You'll be responsible for:

  • Defining engineering standards for enterprise AI
  • Driving adoption of Agentic AI across multiple engineering teams
  • Designing production-grade RAG architectures
  • Establishing LangGraph and LangChain implementation patterns
  • Designing scalable vector database retrieval strategies
  • Leading best practice across MLOps, CI/CD and model deployment
  • Improving AI testing, evaluation and observability
  • Implementing guardrails and hallucination mitigation
  • Influencing senior engineering stakeholders without direct line management

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We're looking for someone with deep experience in:

  • Python
  • AWS
  • LangChain
  • LangGraph
  • Retrieval Augmented Generation (RAG)
  • Vector databases
  • MLOps
  • Production Machine Learning platforms
  • AI governance and engineering best practice
  • PyTorch, TensorFlow or Scikit-learn

More important than individual technologies is your ability to design robust, scalable AI systems and influence engineering standards across multiple product teams.

Contract

  • £750-900 per day (inclusive)
  • Initial 6 months with long-term programme roadmap
  • Inside IR35
  • London (3 days per week)
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Skills

Python
AWS
LangChain
LangGraph
Retrieval Augmented Generation
RAG
Vector Databases
MLOps
Production Machine Learning
AI Governance
Engineering Best Practice
PyTorch
TensorFlow
Scikit-learn

Location

City of London, England, United Kingdom

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