Oho Group
Founding Machine Learning Engineer | Early-Stage AI Start-Up | London

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Founding Machine Learning Engineer | Early-Stage AI Start-Up | London
Founding Machine Learning Engineer required to join an early-stage AI start-up in London, building cutting-edge technology from the ground up and solving real world problems.
This is an opportunity to join at the earliest stage, work closely with the founding team, and take significant ownership over the development of the company's core machine learning systems. You'll have the freedom to experiment, move quickly, and directly influence both the technology and product as the company grows.
You are:
- A Machine Learning Engineer with 1–5 years of professional experience
- Strong academic background, ideally with a degree in Machine Learning, Computer Science, Mathematics, or a related technical discipline
- Strong Python programming and software engineering fundamentals
- Experienced developing and deploying machine learning models into production
- Comfortable working across experimentation, model development, evaluation, and deployment
- Excited by the pace, ambiguity, and ownership that comes with an early-stage start-up
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
Bonus points:
- MSc or PhD focused on Machine Learning or a closely related field
- Previous experience within an early-stage AI start-up or high-growth technology company
Why join:
- Become a Founding Machine Learning Engineer at an early-stage AI company
- Take significant ownership of the core machine learning technology from day one
- Work closely with the founders and directly influence product and technical direction
- Solve challenging machine learning problems with the freedom to experiment and move quickly
- Meaningful equity and genuine long-term ownership


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If you're an ambitious Machine Learning Engineer who wants more ownership, technical freedom, and the opportunity to help build an AI company from its earliest stages, I'd love to hear from you.
Founding Machine Learning Engineer | Early-Stage AI Start-Up | London
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