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Machine Learning Research Engineer

OHO Group Ltd.

London

Hybrid

GBP 60,000 - 90,000

Full time

3 days ago
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Job summary

A world-leading tech company seeks a Research Machine Learning Engineer for its elite AI division in London. This role offers the chance to tackle complex machine learning challenges, collaborate with top researchers, and contribute to high-impact projects. Candidates should have a PhD and deep expertise in machine learning. Hybrid work options available.

Benefits

Hybrid remote work
Opportunity to publish work
Collaboration with researchers
Work on high-impact projects

Qualifications

  • Strong record of publications in top-tier conferences or journals.
  • Deep expertise in machine learning algorithm development.

Responsibilities

  • Work on complex problems in machine learning with real-world impact.
  • Collaborate with a world-class team of researchers and engineers.

Skills

Machine Learning
Research
Deep Learning

Education

PhD in relevant field

Tools

TensorFlow
PyTorch

Job description

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Machine Learning Research Engineer, London

Location: London, United Kingdom

Job Category: Internet

EU work permit required: Yes

Job Reference: AF-36

Job Views: 1

Posted: 19.05.2025

Expiry Date: 03.07.2025

Job Description:

Research Machine Learning Engineer - World Leading Team - Cambridge / London

A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact.

What we’re looking for:

  • Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals.
  • Deep expertise in machine learning algorithm development is essential, and we’re especially interested in those who thrive in pushing the boundaries of what’s possible.

Nice to have experience in:

  • Reinforcement learning
  • Large Language Models (LLMs)
  • Optimization methods
  • Deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Applied AI research at scale

What’s on offer:

  • Hybrid remote work with offices in Cambridge or London
  • The chance to publish and share your work with the broader research community
  • Collaborate with a world-class team of researchers and engineers
  • Work on high-impact projects with significant reach and visibility

If you're passionate about advanced machine learning and want to shape the future of AI, this is the opportunity to do it.

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