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Myn

AI/ML Engineer | Contract | London

London
£650 – £750/day
Posted about 20 hours ago
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AI/ML Engineer - Contract

We're recruiting an experienced AI/ML Engineer for a contract role designing, building, and deploying machine learning and generative AI solutions into production. You'll take models from prototype to reliable, scalable services, working closely with data scientists, product, and platform engineers to deliver measurable business impact.

Location: London, UK
Day rate: £650–£750 per day (IR35 status to be confirmed)
Contract: Initial 6–12 months, likely extension

What you'll do:

  • Design, build, train, and evaluate ML models and LLM/GenAI applications
  • Productionise models as scalable inference services and APIs
  • Develop data and feature pipelines with data engineering teams
  • Build and optimise RAG pipelines, prompt workflows, agents, and fine-tuned models
  • Implement MLOps, including experiment tracking, model versioning, CI/CD for ML, and drift monitoring
  • Deploy ML workloads on AWS, Azure, or GCP using Docker and Kubernetes
  • Apply responsible AI practices, including bias testing, explainability, and UK GDPR compliance

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.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

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

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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 you'll bring:

  • Degree in Computer Science, Machine Learning, Mathematics, Engineering, or similar; MSc/PhD an advantage
  • 3–6 years' experience deploying ML systems in production
  • Strong Python skills with PyTorch, TensorFlow, or scikit-learn, plus pandas and NumPy
  • Hands-on MLOps experience (MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML)
  • Cloud, container, and CI/CD experience
  • Solid grounding in model evaluation, statistics, and experimentation
  • Right to work in the UK

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Desirable:

  • LLMs and generative AI, including RAG, vector databases, and fine-tuning
  • NLP, computer vision, time series, or recommender systems
  • Spark, dbt, Airflow, Snowflake, or Databricks
  • Regulated environments
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Location

London, England, United Kingdom

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