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A leading company in the machine learning sector is seeking an R&D Project Manager to join their team in Cambridge. This role involves hands-on leadership in developing innovative technologies aimed at improving energy solutions. Candidates should possess a degree in a relevant field, along with experience in machine learning. The company offers competitive compensation, career progression, and comprehensive training.
Are you an experienced engineer seeking a new role within a dynamic, fast-paced commercial environment? A small, close-knit team in rural Cambridgeshire is looking for passionate machine learning specialists to join their award-winning team of engineers and programmers.
This exciting role offers an excellent opportunity to work on cutting-edge products in the machine learning field. As part of a small team, you will take a hands-on approach and lead fellow scientists and engineers, thriving within one of the fastest-growing sectors in technology.
On a daily basis, you will utilize your skills to develop and test new technologies related to optimisation, pattern recognition, and forecasting, aimed at enhancing the efficiency of energy solutions and distribution.
To qualify for this role, you should have a degree in Computer Science, Electronics, or a relevant field, along with experience in machine learning or deep learning. A genuine passion for this sector is essential, and a relevant PhD and postdoctoral experience would be highly advantageous.
In return, the company offers a highly competitive package, excellent career progression opportunities, and comprehensive training to further develop your skills.
For more information, please contact Matthew Lowdon at Newton Colmore Consulting on 0121 268 2240 or submit your application, and our team will be in touch.
Newton Colmore Consulting specializes in recruitment across sectors including medical devices, scientific engineering, scientific software, robotics, electronics design, new product development, human factors, regulatory affairs, quality assurance, and field service engineering throughout Europe and the US.
Key words: Computer Science, Software Engineer, Electronics, Computer Vision, Deep Learning, Machine Learning, Image Processing, Cambridge