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Darcie Talent

Machine Learning Researcher

Cambridge
Posted about 23 hours ago
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A PhD Level Machine Learning Scientist is needed

A PhD level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning.

You will play a key role in designing, implementing, and advancing cutting-edge methods in:

  • Reinforcement Learning (RL)
  • Large Language Models (LLMs)
  • Optimisation for Deep Learning

You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications.

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.

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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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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

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Experience Required:

  • A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field
  • A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential)
  • Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning
  • Good programming skills in Python and experience with deep learning frameworks
  • A passion for advancing AI research and contributing to the global ML community

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Key selling points:

  • Work on cutting-edge AI challenges with a talented, multidisciplinary team
  • Collaborate with leading academic and industry partners
  • Access to high-performance computing resources
  • Publish your work at the leading conferences
  • VISA sponsorship available

If you’re driven by curiosity, thrive in a research-focused environment, and want to contribute to the next wave of AI innovation, then please apply today.

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Skills

Reinforcement Learning
Large Language Models
Deep Learning Optimisation
Python
Deep Learning Frameworks
AI Research
Scientific Publishing

Location

Cambridge, England, United Kingdom

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