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Oliver Bernard

Machine Learning Engineer

London
£100k – £180k/yr
Posted about 12 hours ago
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Oliver Bernard are once again partnered with a fast growing AI start-up based in London!

They are looking to add a talented Machine Learning Engineer to help develop their core product.

Their Product?

This Machine Learning role at its core is building systems that model human behaviour at scale, it's a brutally hard computational problem: the number of possible outcomes across a population is vast, and the whole thing has to resolve quickly enough to be commercially useful.

The Role?

  • Turn research into production ready solutions to tackle this complex issue
  • Fine-tune the pipelines to ensure they create the most accurate simulations / solutions possible
  • Building Data pipelines - Turn unstructured data into actionable simulations of the population sets
  • Recognise the trade-offs and make decisions accordingly to maximise performance

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.

About you

  • Experience in Machine Learning within a commercial environment (Ideally a start-up)
  • High autonomy when it comes to your work approach, build fast and ship high quality solutions that won't fall over
  • Experience in processing/working with Human Data is essential
  • Proficient in writing high grade Python code
  • Deep Learning experience
  • Bonus - A background in computational social science / applied social science
  • Bonus - Worked with simulations before

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What's on offer?

  • Competitive Salary + Equity
  • On-Site working model (This role is for office lovers)
  • A chance to develop as a Machine Learning Engineer in a fast paced environment
  • Be at the forefront of tackling one of the most complex/newest issues researchers face
  • High ownership, build and ship fast, creative freedom to propel the platform to new heights

If you feel you'd be a good fit for this Machine Learning Engineer role, apply now!

Machine Learning Engineer, Human Data, Start-Up

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Skills

Machine Learning
Python
Deep Learning
Data Pipelines
Human Data Processing
Computational Social Science
Simulations
Production-ready Solutions

Location

London, England, United Kingdom

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