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Research Engineer

London
£300/day
Posted about 15 hours ago
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Research Engineer – Fundamental AI Research

Location: London, Hybrid – 3 days onsite
Contract: Initial 12 Months
Rate: Up to £300 per day PAYE

We are looking for a Research Engineer to join a cutting-edge AI research team focused on advancing machine learning systems and developing technologies that accelerate the path towards human-level intelligence. This role combines AI research and engineering, giving you the opportunity to work on large-scale AI models, reinforcement learning, synthetic data generation, multi-agent systems, and the infrastructure required to support advanced AI research.

Key Responsibilities

  • Conduct cutting-edge research to advance machine learning and AI systems
  • Develop methods, tools, and infrastructure for Large Language Models (LLMs)
  • Build and run complex experiments involving large AI models and datasets
  • Develop reinforcement learning environments and generate synthetic data
  • Research and develop multi-agent AI systems
  • Build robust and scalable infrastructure and sandboxes for AI agents
  • Collaborate closely with researchers and engineers, communicating research plans, progress, and results
  • Stay current with the latest AI research and academic papers
  • Translate research insights into practical recommendations and engineering solutions
  • Contribute to research that can influence real-world product development

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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It searches the market for you

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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

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.

Essential Skills & Experience

  • 2+ years of hands-on experience in Machine Learning, Artificial Intelligence, Recommendation Systems, Pattern Recognition, or Data Mining
  • Proven experience developing machine learning models at scale
  • Strong Python programming skills
  • Hands-on experience with PyTorch or similar ML frameworks
  • Experience working with large AI models, datasets, and complex experiments
  • Experience programmatically querying LLMs and/or LLM post-training
  • Strong problem-solving skills and the ability to work effectively in ambiguous, fast-moving environments
  • Excellent communication and collaboration skills
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience

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Desirable Experience

  • Direct experience in Generative AI and LLM research
  • Experience with reinforcement learning, synthetic data, or multi-agent systems
  • Research experience within a leading technology company, research lab, or similar environment
  • PhD or research-focused Master's degree in Machine Learning or a related field

Top 3 Non-Negotiable Skills

  • Hands-on Machine Learning Experience – 2+ years in ML, AI, recommendation systems, pattern recognition, or a related field
  • Developing Models at Scale – proven experience building or working with large-scale ML models
  • Python – strong hands-on Python programming skills

This is an opportunity to work at the intersection of fundamental AI research and large-scale engineering, contributing directly to advanced AI projects. The role offers significant exposure to emerging technologies and requires engineers who are comfortable with ambiguity, rapid changes in priorities, and working closely with research and engineering teams.

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Location

London, England, United Kingdom

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