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Machine Learning Engineer

London
£200k – £250k/yr
Posted about 15 hours ago
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Machine Learning Engineer, London

I'm working with a highly technical organisation, a new client of ours and a global hedge fund, that wants a Machine Learning Engineer focused on the systems that make ML work, not on building models.

What you'll be working on:

  • Trialling emerging ML frameworks and hardware before most people have heard of them
  • Speeding up training and inference across a very large GPU estate
  • Tracking down tricky bottlenecks across compute, networking and storage
  • Partnering with engineers around the business to push their ML workloads further

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 makes the opportunity interesting:

  • Time to experiment is built into the role
  • Access to GPU resources few organisations can match
  • Hiring is based on PyTorch depth and solid engineering, not titles
  • Research labs or major tech firms are a natural background, but not a requirement
  • A long term technical career path with no push into management

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This would suit someone who loves working out why an ML job behaves the way it does, then making it quicker. Earning potential of an additional £100k to £200k.

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Location

London, England, United Kingdom

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