Senior Deep Learning Researcher | London, Amsterdam or Remote

Oxford Knight; London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A leading technology recruitment firm is seeking a Senior Deep Learning Researcher in London, Amsterdam, or Remote. The successful candidate will have a PhD and experience in top applied research labs. Your role will focus on cutting-edge research in foundational models and deep learning architectures, offering a chance to join a dynamic research environment.

Qualifications

• Strong background in ML and mathematical statistics.
• Hands-on experience with modern deep learning architectures.

Responsibilities

• Contribute to cutting-edge research in foundational models.
• Work on LLMs, multi-modal, multi-domain, and continual learning frameworks.

Skills

Experience in top applied research labs

Deep learning architectures

Foundational models

Education

PhD in CS, EE, Mathematics, or a 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:

19

Posted:

12.08.2025

Expiry Date:

26.09.2025

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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)

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.