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Zenithon AI

Forward-Deployed Engineer

London
Posted 1 day ago
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We’re hiring Forward-Deployed Engineers

Location: London or San Francisco

Compensation: Competitive


Company Overview

Zenithon AI builds foundation models for extreme physics, accelerating simulation and engineering across fusion energy, semiconductors, and aerospace.


About the Role

You’ll work directly with customers and our research team to turn difficult physics problems into working solutions. You’ll own projects from understanding the problem and training models through to deployment and iteration with users.

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

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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 We’re Looking For

  • Strong physics fundamentals: You can reason about physical systems and the assumptions behind a simulation.
  • Hands-on ML experience: You’ve built and trained models, and understand how to evaluate their performance.
  • Exceptional learning speed: You ask sharp questions, pick up the information that matters, and put it to work quickly.
  • A bias for execution: You move fast, take ownership, and communicate clearly and efficiently.
  • Responsiveness to feedback: You take it well, act on it quickly, and improve.

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Above all, we care about how quickly you can get up to speed on an unfamiliar problem and deliver something useful.


How to Apply

Apply with your CV and a brief example of something you’ve built or a difficult technical problem you’ve solved.

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Location

London, England, United Kingdom

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