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Job Description
Machine Learning Researcher (PhD Statistics R&D) Cambridge / WFH to £75k
Are you a tech savvy 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 1-2 days a week with flexibility to work from home in a hybrid model.
About you:
You’re educated to PhD level in a relevant discipline
You have published at least two research papers on Machine Learning, Statistics or optimisation
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 £75k
Private Health Care
Life Assurance
Up to 6% employer pension contribution
25 days holiday
Apply now to find out more about this Machine Learning Researcher (PhD R&D) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.