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Machine Learning Research Scientist

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Machine Learning Research Scientist
Build the intelligence that helps robots understand and interact with the physical world.
We’re looking for a Research Scientist to join an early-stage UK startup working at the intersection of machine learning and robotics.
This is a highly research-driven role. You’ll explore new approaches to robot learning, vision-language-action models and world models, with the opportunity to test your ideas on real robotic systems.
The role
- Research and develop new approaches to Physical AI
- Train and evaluate VLAs, world models and robot learning systems
- Explore new architectures, training techniques and data strategies
- Investigate how models can generalise across different tasks and environments
- Turn research ideas into experiments on real robotic hardware
- Play a major role in shaping the company's research roadmap
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.
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.
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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.
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.
About you
- Strong research background in machine learning, robotics or computer vision
- Deep understanding of modern deep learning
- Experience training and evaluating ML models
- Strong mathematical and experimental skills
- Comfortable tackling open-ended research problems
- Able to take an idea from hypothesis through to rigorous experimentation


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Why this role?
- Join at an early/founding stage with meaningful equity
- Work on some of the hardest problems in robotics and Physical AI
- Test your research on real-world robotic systems
- Significant freedom to explore new ideas
- Help shape the research direction from an early stage
- Work alongside a small, highly technical team
“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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