Job Details
Salary 65,000 - 75,000 GBP per year
Requirements
- PhD level education in a relevant discipline
- At least two published research papers on Machine Learning, Statistics, or optimization
- Advanced knowledge of decision-making techniques (e.g., Bayesian optimization, bandits, reinforcement learning, active learning) and methods (e.g., Gaussian processes, Bayesian neural networks, variational inference)
- Experience with Python numerical programming (e.g., NumPy, TensorFlow, PyTorch)
- Ideally, an interest in the automotive sector and sustainability
Responsibilities
- Work independently to develop a research program and new tools and techniques for probabilistic models, Bayesian optimization, and related fields
- Actively engage in team collaborations to meet research goals and report research findings internally and externally
- Contribute research to product development and customer research projects
- Contribute to the company's open source libraries
Technologies
- Machine Learning
- PyTorch
- Python
- TensorFlow
- numpy
About the Role
We are offering an exciting opportunity for a Machine Learning Researcher to join our team. You will have the chance to work on complex and interesting systems at the cutting edge of AI technology within a successful SaaS tech company. Our company provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning.
In this role, you will be based in Cambridge 1-2 days a week with the flexibility to work from home in a hybrid model. We provide competitive salary, private health care, life assurance, employer pension contribution, and 25 days holiday. We believe in a diverse workplace and are an equal opportunities employer. If you are a tech-savvy researcher looking for an exciting opportunity, apply now to find out more about this role.