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Machine Learning Research Engineer (PyTorch/JAX) - Cambridge

Salt
Cambridge
11 months ago
Applications closed

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Research Machine Learning Engineer (PyTorch/Jax) - Technology consumer - Cambridge

Day rate: £500 - £700 (inside IR35)

Duration: 12 months

Start: ASAP

My new client is looking for a Research Machine Learning Engineer to join the team on a contract basis in their Cambridge office. The ideal candidate would have Pytorch and Jax experience.

Job Description

Responsibilities:

  • Enhance codebase for high-performance machine learning deployments using PyTorch
  • Collaborate with researchers to improve test and stability pipelines for large-scale machine learning
  • Optimize distributed systems for machine learning model deployment
  • Implement and refine scaling strategies for large-scale generative models

Requirements:

  • Strong proficiency in PyTorch and distributed systems
  • Deep understanding of scaling challenges and benefits for large-scale machine learning models
  • Expertise in generative modelling techniques
  • Experience with test automation and stability pipelines for ML systems
  • Ability to collaborate effectively with research teams
  • Strong problem-solving and debugging skills

Preferred Qualifications:

  • Advanced degree in Computer Science, Machine Learning, or related field
  • Published research or significant contributions to open-source ML projects
  • Experience with large distributed ML workflows.

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