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Oho Group

Machine Learning Engineer

London
£60k – £150k/yr
Posted 1 day ago
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Machine Learning Engineer / Elite Team / London

A high-growth technology company is looking for an outstanding Machine Learning Engineer to join a highly technical team tackling some of the hardest problems in AI.

You'll work alongside exceptional ML engineers, researchers and software engineers, pushing beyond off-the-shelf models across computer vision, deep learning and advanced ML systems. Join at an exciting stage of growth, take ownership of challenging projects and put yourself in a position to grow technically and financially as the business scales.

What you'll be doing

  • Build and deploy advanced machine learning models
  • Tackle complex problems across computer vision and deep learning
  • Experiment with new architectures and research approaches
  • Take models from experimentation into production
  • Work with complex datasets and real-world signals
  • Collaborate with outstanding engineers to solve problems from first principles

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 they're looking for

  • Strong experience in Machine Learning or Computer Vision
  • Excellent Python and experience with PyTorch, JAX or TensorFlow
  • Experience deploying ML models into production
  • Strong engineering fundamentals and problem-solving ability
  • Excellent academic or technical track record
  • A genuine drive to tackle problems without obvious answers
  • Previous SME experience

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Why join?

  • Work alongside an exceptionally strong engineering and research team
  • Take on technically ambitious work with genuine ownership
  • Learn from engineers operating at an incredibly high level
  • Join a growing business where you can shape your role and progression
  • Highly competitive compensation and meaningful long-term upside

If you're an ambitious ML Engineer looking to stretch your technical ability, accelerate your career and share in the upside of a growing business, this is worth exploring.

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Location

London, England, United Kingdom

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