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Machine Learning Researcher - LLM/VLM

Redline Group Ltd
Posted 6 days ago, valid for a month
Location

Staines-Upon-Thames, Surrey TW18 3JQ, England

Salary

£45,000 - £70,000 per annum

Contract type

Full Time

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Sonic Summary

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  • A global consumer electronics company is seeking a PhD-educated Machine Learning Researcher for their AI centre in Cambridge, Cambridgeshire.
  • The role involves working on on-device LLMs and VLMs, conducting research, and developing machine learning algorithms for practical applications.
  • Candidates must possess a PhD in a related field and have at least 2 years of industry experience post-PhD.
  • Experience with ML frameworks like PyTorch, TensorFlow, or JAX, along with strong programming skills in C++, C, or Python, is required.
  • Salary details are not specified in the job listing.

Machine Learning Researcher - LLM/VLM

Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge, Cambridgeshire.

Key Responsibilities:

As a Machine Learning Researcher, you will:

  • Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems.
  • Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices.
  • Design and develop groundbreaking machine learning algorithms and systems.

Key Requirements:

To be considered for this Machine Learning Researcher role, you must have:

  • A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field.
  • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong programming skills in C++, C, or Python.
  • Experience working with embedded or mobile devices.
  • Ideally, 2+ years of industry experience post-PhD.

How to Apply:

To apply, please send your CV to (url removed) or contact Nick on (phone number removed) / (phone number removed).

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