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Few&Far

Machine Learning Engineer

United Kingdom
£550 – £650/day
Posted about 18 hours ago
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Machine Learning Engineer

I’m currently working with a fast-growing AI business looking for a hands-on Machine Learning Engineer to join an exciting 6-month project.

This is not a research-heavy ML role, we’re looking for someone who enjoys building, productionising and shipping models into real-world environments.

The role:

  • 💰 Up to £550-650 per day
  • 📄 Outside IR35
  • ⏳ 6-month contract
  • 🏠 Fully remote
  • 🇬🇧 UK-based candidates only
  • 🔐 Active SC Clearance strongly preferred / SC eligible is essential though
  • ⚡ ASAP start

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 we're looking for:

  • 🐍 Strong commercial experience building and deploying ML models into production
  • 💻 Strong Python skills, ideally with NumPy/SciPy, strong software engineering fundamentals
  • 🚀 Experience taking models from prototype → production → deployment
  • 🔄 Experience building robust data, modelling, evaluation and deployment pipelines
  • 📊 Strong understanding of numerical modelling, simulation and/or optimisation
  • 🎯 Experience working with real-world data and validating model outputs
  • ☁️ Experience with Docker/Kubernetes would be beneficial
  • ⚙️ Comfortable working in a hands-on, delivery-focused engineering environment

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The key thing here is delivery.

If you're an ML Engineer who wants to spend your time actually building and shipping models, rather than sitting predominantly in research, this could be a great fit.

📩 Interested? Please apply below

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Skills

Machine Learning
Python
NumPy
SciPy
Software Engineering
Model Deployment
Data Pipelines
Numerical Modelling
Simulation
Optimisation
Docker
Kubernetes
SC Clearance

Location

United Kingdom

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