Machine Learning Engineer - Artificial Intelligence - Cambridge
A growing Machine Learning and Artificial Intelligence Engineering group are currently looking for a new Machine Learning Engineer to help with the development of a number of different ML/AI projects for the Medical Devices and Scientific sectors.
We are looking for someone with a few years experience working in Machine Learning or Artificial Intelligence that has applied your work to real world environments and improved systems in the Medical Devices or Scientific fields.
You will hold a degree from a leading university in Computer Science, Machine Learning, Artificial Intelligence or another subject that covered ML or AI projects.
You'll mainly be programming in Python, C++ and R, so past experience of this would be useful.
It would be highly advantageous if you've worked on deep learning frameworks, due to the latest projects that will need your attention. If you have Deep Learning knowledge please make it clear in your CV.
This company is offering an excellent starting salary and some excellent benefits that include, but not limited to, pension, free lunch and snacks, annual bonuses, life assurance, private medical insurance, company share scheme and many more.
This is a growing sector so I'm expecting a lot of interest, so if you are interested, I'd suggest making an application now so you don't miss out.
For more information, please feel free to call Andrew Welsh, Director of Medical Devices recruitment and Scientific recruitment specialists Newton Colmore Consulting, on +44 121 268 2240 or make an application and one of our team at Newton Colmore Consulting will contact you.
Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.
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- Agency: Newton Colmore Consulting
- Reference: MLEAIC02
Website: Newton Colmore Consulting
- Posted: 19th November 2021
- Expires: 17th December 2021