Machine Learning Researcher (Decision Trees, Bayesian Data)

Machine Learning Researcher (Decision Trees, Bayesian Data)

We are seeking a Machine Learning Researcher/Machine Learning Scientist (Decision Trees, Bayesian Data) to join our brand-new Cambridge office where we are driving forward cutting edge research within Machine Learning and Artificial Intelligence. As a Machine Learning Researcher/Machine Learning Scientist you will be applying this research will applying it to complex autonomous systems, guiding Real Time recommendations and complex decisions within the electricity markets, worth billions of pounds.

Within our business as a Machine Learning Researcher/Machine Learning Scientist, you will stay abreast of current publications within your academic domain - keeping in touch with your networks, whether that be colleagues or relevant professors within universities & research centres. We are keen on bringing on board a Machine Learning Researcher/Machine Learning Scientist who isn't scared of thinking about data in new innovative ways, rather than falling back on the standard approaches. As a Machine Learning Researcher/Machine Learning Scientist you will aid us in our vision of investigating problems which have a vast impact on the world; whether this be Artificial Intelligence safety, human healthcare or complex environmental issues.

What we can offer a Machine Learning Researcher/Machine Learning Scientist

• A place to have an impact; we want your research to affect both the academic and commercial world.
• 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.
• To be part of a team consisting of top researchers and Engineers, all of which want to work on real world problems that have a global impact.
• A relaxed and informal working environment with very little bureaucracy.

Key Skills Include: Researcher, Research, PhD, Publications, 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, Economics, Energy Markets.