Machine Learning Engineer

Machine Learning Engineer

I am extremely excited to be recruiting for a Machine Learning Engineer on behalf of a truly interesting, disruptive and heavily invested start-up in Cambridge that are utilising AI to revolutionise industrial design.

As the selected Machine Learning Engineer, you’ll role report to the Head of Software where you’ll work across new product development and research at the intersection of Physics, Computer Science and Artificial Intelligence to create technology that will drive further electrification of the Planet.

As the selected Machine Learning Engineer, your experience should include:

  • Degree in computer science or equivalent
  • Excellent problem-solving skills
  • Proven industry experience and success developing machine learning models
  • Experience with PyTorch, TensorFlow and Python
  • Experience with running ML workloads on distributed systems

Desirable skills:

  • Optimisation methods
  • Linux scripting
  • C/C++ programming
  • Interest in physics and hardware engineering

Benefits for the role of Machine Learning Engineer include:

  • 30 days holiday a year, 8 bank holidays plus additional time off between Christmas and New Year to reflect on the past year and prepare for the new.
  • After every 5th year, you can take a paid sabbatical for 30 days to travel, work on personal projects or simply to recharge and reboot.
  • Everyone who joins the company will receive a meaningful share of the business in the form of Options attached to their salary.
  • Support to take care of your mental and physical well-being.
  • Generous maternity/paternity package.
  • Healthcare and a pension plan with employer contributions, childcare voucher scheme and a cycle to work scheme.
  • Hybrid working with 1 core day a week in the office.
  • They encourage ongoing training and development for everyone – if you have an idea and it’s viable for the company, they will sponsor it!

This is an excellent opportunity for a Machine Learning Engineer to join one of the most exciting start-ups in Cambridge.

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