Oho Group
Machine Learning Engineer

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Machine Learning Engineer / Applied Research / London
A stealth AI startup is looking for an exceptional Machine Learning Engineer to join its lean founding team and help build the intelligence layer behind a new class of AI systems.
This is a chance to get genuinely early. You'll work directly with a deeply technical founding team across machine learning, NLP, knowledge representation, graphs, and information retrieval — taking ideas from research → prototype → production while helping define the technology.
There is no established playbook here. You'll help create it.
What you'll do
- Build ML systems for understanding and connecting complex information
- Develop knowledge representations, ontologies, and graph-based systems
- Push retrieval across dense, sparse, and structured data
- Build NLP and information extraction systems
- Explore how knowledge can be connected, validated, and reasoned over
- Turn research into production technology
- Shape architecture and technical direction from day one
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.
What they're looking for
- Strong experience across ML, NLP, Information Retrieval, or Knowledge Representation
- Experience with knowledge graphs, graph databases, or Neo4j highly desirable
- Excellent ML fundamentals and strong software engineering ability
- Evidence of taking research or experimentation into working systems
- Exceptional academic or technical track record
- Curiosity around LLMs, reasoning, and semantic search


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why join?
- Join a highly technical founding team at the beginning of the journey
- Work on foundational AI problems rather than another AI wrapper
- Own decisions across ML, research, and architecture
- Combine research depth with hands-on engineering
- Have outsized influence on a potentially category-defining product
- Flexible/hybrid London
If you want to join an AI company before the playbook exists, work on genuinely difficult problems, and help build the technology from the ground up, this is a rare opportunity - interviews have started!
“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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