3 of 3 Bayesian Methods Jobs in the East of England

solutions for complex engineering and optimisation problems. This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly publishes … and contributes to open-source ML libraries. The Role You'll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research with practical application, including contributions to product ...

patents filed in the last four years . What You’ll Be Doing Develop and lead your own research programme in probabilistic modelling, Bayesian optimisation , and related fields Collaborate with colleagues to meet research goals and communicate findings internally and externally Contribute to product development and customer … technical field or equivalent experience Published research in machine learning , statistics, or optimisation (conferences and/or journals) Desirable: Experience in decision-making methods ( Bayesian optimisation , bandits, reinforcement learning, active learning) Background in probabilistic modelling (Gaussian processes, Bayesian neural networks, variational inference, etc. ...

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 … 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 ...