Deep Learning Engineer - Connected Devices - Cambridge
A start-up technology company in Cambridge is actively looking for a Deep Learning Engineer to take charge on various cutting edge research projects.
This exciting role, borne out of growth and the recent securing of funding will give the Deep Learning Engineer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector.
In terms of day to day activities you will be responsible for and take lead on a number of projects around sensing technologies and wireless communication systems. These include low volume, high value sensors for subsea environments as well as low value, high volume dispensing systems and connected devices.
You will be extracting key information from both structured and unstructured sources by designing algorithms and analytical methods in Python and Tensorflow.
To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or other related subjects and will have a thorough understanding of data science whilst possessing an innovative and forward thinking mindset. You will also need experience with implementing analytical algorithms and ideally have knowledge of both machine learning and Bayesian statistics.
In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas.
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, Data Science, 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: Data Scientist, Defence, Communications, Tracking, Sensing, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Algorithm Developer, Deep Learning
Bank or payment details should not be provided when applying for a job. reed.co.uk is not responsible for any external website content. All applications should be made via the 'Apply now' button.Report this job