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Research Engineer

London
£100k/yr
Posted about 17 hours ago
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Founding Junior RL Engineer/Researcher (Mediors welcome also)

Hybrid | Amsterdam / London / Paris | £100,000 + Founding Equity

The best AI engineers aren't waiting for a job ad. They're waiting for the right moment. This might be it.

Anthropic leadership has discussed spending over $1 billion on RL environments in the next year alone. The market is moving - fast and at scale. One pre-seed company just closed a round at a valuation most Series A companies would envy, with frontier AI labs already as paying clients and acquisition interest already on the table (x2).

The reason? They cracked something the rest of the market hasn't.

Most teams build RL environments from synthetic data - easy to demo, easy to commoditise, brittle. This team mines real human behavioural data - how domain experts actually reason, decide, and solve complex tasks over long-horizon workflows. 10-100+ step environments. Closed-loop systems where environments, data, training, and evaluation are tightly integrated. Not proxies. Not short cuts.

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.

  • 25-30% uplift in model task success rates
  • 50-65% more training signals
  • Evals that reflect how humans actually work

The funding just landed. Second time founders. The founding team is being built right now. There are very few seats. Are you going to be in one of them?

  • 🚀 £100,000 + founding equity at a ~$40M seed valuation
  • 🧠 Frontier AI labs as paying clients from day one
  • 🏗️ Environment design treated as a first-class problem - not an after thought
  • 🌉 London / Paris / Amsterdam hybrid with some remote options
  • 📈 Get in now - before this role disappears and you're watching from the outside

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You'll love this if...

  • ✅ You've built or have explored RL environments, gyms, or training infrastructure at a serious RL or AI company
  • ✅ You think environment design & the lack of data available are the most underrated problems in AI right now
  • ✅ Long-horizon RL excites you
  • ✅ You move fast, think in first principles, and thrive without a playbook
  • ✅ You want to work at the forefront of innovation with frontier labs

Roles like this don't stay open. If it fits - apply today.

Because great teams are Built Different.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Reinforcement Learning
Environment Design
Training Infrastructure
Long-horizon RL
First Principles Thinking
Data Mining
Model Evaluation

Location

London, England, United Kingdom

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