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Senior Deep Learning Researcher | London, Amsterdam or Remote

Oxford Knight

London

Remote

GBP 80,000 - 120,000

Full time

Yesterday
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Job summary

A leading tech firm seeks a Senior Deep Learning Researcher to join their innovative team in London, Amsterdam, or remotely. The role involves engaging in advanced research on foundational models, requiring a PhD and strong expertise in deep learning architectures. Successful candidates will have a background in top research labs and a passion for exploring new AI frontiers.

Qualifications

  • Experienced in top applied research labs (e.g. DeepMind, Google Brain, OpenAI, Meta).
  • Hands-on experience with deep learning and foundational models.

Responsibilities

  • Contribute to cutting-edge research in foundational models including LLMs.
  • Work with multi-modal and continual learning frameworks.

Skills

Mathematical statistics
Deep learning architectures
Foundational models

Education

PhD in CS, EE, Mathematics, or related field

Job description

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Senior Deep Learning Researcher | London, Amsterdam or Remote, London

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Client:

Oxford Knight

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

b4c15d317e5c

Job Views:

9

Posted:

29.06.2025

Expiry Date:

13.08.2025

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Job Description:

Location:London, Amsterdam or Remote

About the Role:

Senior Deep Learning Researcherwith a strong background inML, mathematical statistics, and modern DL architectures. You will contribute to cutting-edge research in foundational models, includingLLMs, multi-modal, multi-domain, and continual learning frameworks.

Key Requirements:

  • Experience intop applied research labs (e.g. DeepMind, Google Brain, OpenAI, Meta).
  • PhD inCS, EE, Mathematics, or a related field.
  • Hands-on experience withdeep learning architecturesandfoundational models.

Interview Process:

  • Intro meeting with hiring manager (1 hour)
  • First technical interview (ML & research) (2 hours)
  • Second technical interview (research & coding) (4 hours)
  • Culture fit interview with recruiters (1 hour)

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