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Research Engineer - Machine Learning and Generative AI

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Research Engineer - Machine Learning & Generative AI, Global Tech
12-month contract | £64,000-£71,000 | London | Hybrid - 3 days onsite
We're hiring a Research Engineer to join a world-leading technology organisation working at the forefront of AI and machine learning research. This is a rare opportunity to be deeply embedded within a research team, contributing directly to cutting-edge work around large AI models, reinforcement learning, synthetic data, and multi-agent systems.
You'll combine hands-on engineering with research, building and experimenting with ML systems, developing robust research infrastructure, and working alongside researchers on complex, rapidly evolving problems.
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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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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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.
Non-negotiable Skills:
- 2+ years' hands-on Machine Learning/AI experience - including ML, artificial intelligence, recommendation systems, or pattern recognition.
- Strong Python programming skills
- Experience developing ML models at scale, ideally gained within a major technology company, AI research lab, or similarly sophisticated environment.
- Experience running complex experiments with large AI models and datasets.
- Strong understanding of the scientific/research process and the ability to investigate why approaches succeed or fail.
- Comfortable operating in a fast-moving, highly ambiguous research environment where priorities can change quickly.


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Experience with PyTorch, LLMs, LLM post-training, reinforcement learning, generative AI, or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in ML/AI is advantageous but not essential.
Deadline for this role is Monday the 14th of December, apply today!
“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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