Machine Learning Researcher PhD

Machine Learning Researcher (PhD Statistics Python AI R&D) Cambridge / WFH to £85k

Are you a tech savvy, PhD educated, Machine Learning Researcher looking for an opportunity to work on complex and interesting systems at the cutting edge of AI technology?

You could be progressing your career working on real-world problems within a high successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning.

As a Machine Learning Researcher you will work fairly independently, developing your own research programme, with a view to developing new tools and techniques for probabilistic models, Bayesian optimisation and related fields. You will actively engage in team collaborations to meet research goals and report your research findings both internally and externally.

You'll use your research to contribute to product development and customer research projects as well as contributing to the company's open source libraries.

Location / WFH:

You'll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time.

About you:

You're educated to PhD level in a relevant discipline i.e. Machine Learning, Deep Learning, Artificial Intelligence You have published at least two research papers on Machine Learning, Statistics or optimisation on NeurIPS, AISTATS, ICML (ICLR, AIAA, COLT, ECML, IEEE) You have experience of applying research to real-world problems You have an advanced knowledge of decision making techniques e.g. Bayesian optimisation, bandits, reinforcement learning, active learning and / or probabilistic modelling and methods e.g. Gaussian processes, Bayesian neural networks, Variational inference, etc. You have experience with Python numerical programming e.g. NumPy, TensorFlow, PyTorch Ideally you will have an interest in the automotive sector and sustainability

What's in it for you:

Competitive salary - to £85k Private Health Care Life Assurance Up to 6% employer pension contribution 25 days holiday Hybrid / remote working