R&D Project Manager - Machine Learning - Cambridge

R&D Project Manager - Machine Learning - Cambridge

Are you an experienced engineer who is looking for a new role within a fun, fast-paced commercial environment? A small, tight knit team in rural Cambridgeshire are looking for passionate machine learning specialists to join their award-winning team of engineers and programmers.

This exciting new role will give the Project Manager an excellent opportunity to work on some really exciting and cutting edge products within the machine learning field. As this is a relatively small team you will need to take a hands-on approach and lead a team of fellow scientists and engineers. This will give you the opportunity to thrive within one of the fastest growing sectors within technology.

On a day to day basis you will use your skills and expertise to develop and test new technologies around optimisation, pattern recognition and forecasting to improve efficiency of energy solutions and distribution.

To be considered for this exciting role you will need to have a degree in Computer Science, Electronics or relevant field as well as experience with either machine learning or deep learning. You will also need to have a genuine passion for this sector and a relevant PhD and post-doc experience would be highly advantageous.

In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression. The company also offer excellent training to further develop your skills.

For more information, please call Matthew Lowdon of Newton Colmore Consulting on or make an application and one of our team will be in touch.

Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, Scientific Engineering, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors throughout Europe and the US.

Key words: Computer Science, Software Engineer, Electronics, Computer Vision, Deep Learning, Machine Learning, Image Processing, Cambridge