Machine Learning Engineer (Gaussian Mixture Models)

Recruiter
Understanding Recruitment Ltd
Location
United Kingdom
Salary
£70k - £90k pa + bens
Posted
05 Oct 2017
Closes
04 Nov 2017
Sector
Healthcare
Contract Type
Permanent
Hours
Full Time
Machine Learning Engineer (Gaussian Mixture Models) We are seeking a Machine Learning Engineer (Gaussian Mixture Models) to join our startup who have received a strong round of funding ahead of our series A next year. Within our startup, we are focussing upon applying forward thinking Machine Learning research to a very niche area of the market which has yet to be capitalised on. Our platform combines a mixture of Times Series Forecasting, Statistical Machine Learning and Gaussian Process; we believe the technology that we are creating will be able to completely disrupt the sector that it works within. As a Machine Learning Engineer you will join a team of 8 people; a mixture of Engineers and top academics within the Machine Learning field. We are seeking Machine Learning Engineer who will be able to work with the researchers to run Machine Learning experiments and also with the Software Engineers to make the platform the best that it can be. What we can offer a Machine Learning Engineer - A place to have an impact - A place to put your skills to the test; it doesn't matter if you are from a Mathematical, Machine Learning, Physics, Computer Science or Statistics background - we would like to hear from you. - A relaxed and informal working environment with very little bureaucracy. - A chance to use Machine Learning to disrupt a market which has been previously overlooked Key Skills Include: Machine Learning Machine Learning Engineer, Researcher, Research, PhD, Publications, Times-Series Forecasting, Gaussian Mixture Modes Machine Learning, ML, AI, Deep Learning, Deep Neural Nets, Bayesian inference, Bayesian Data, Probabilistic Modelling, Complex Data, Matlab, Python, Julia, R, SQL, Mathematics, Statistics, Engineering, Computer Science, Physics
This job was originally posted as www.jobsite.co.uk/job/959238774