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HartleyCo

Machine Learning Engineer

London
£60k – £80k/yr
Posted about 22 hours ago
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ML Engineer - AI for Private Equity - London - Up to £80K - Hybrid

I'm working with an early-stage AI startup building something genuinely interesting: the intelligence layer behind private equity decision-making, helping investment firms turn messy information into something they can actually reason over.

Small team, six people right now, founded by second-time founders with fintech infrastructure backgrounds. The technical team came together through Entrepreneurs First.

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.

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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.

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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.

They're looking for an ML Engineer to join the founding technical team. You'd be building the pipelines that take unstructured, proprietary data and turn it into something structured and queryable, working on models that support real reasoning and shaping how humans and AI work together where judgment actually matters.

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What they're after:

  • Someone with strong ML foundations, ideally in NLP, information extraction or representation learning, who's comfortable working with ambiguity and thinking from first principles.
  • Full-stack comfort (Next.js, Python, TypeScript) is a nice-to-have given the size of the team.
  • They care much more about what you can actually do than how many years you've been doing it, so if you've shipped real ML systems into production rather than just prototyped them, that counts for a lot.
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Skills

Machine Learning
Natural Language Processing
Information Extraction
Representation Learning
Python
TypeScript
Next.js
Data Pipeline Construction
Productionizing ML Systems

Location

London, England, United Kingdom

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