3 of 3 Remote/Hybrid Bayesian Methods Jobs in the UK

engineering and systems design capabilities Experience leading complex technical initiatives and mentoring engineering teams Expertise in probabilistic modelling, uncertainty estimation, Bayesian methods, or related techniques Track record of translating cutting-edge research into scalable production systems Highly Desirable Experience applying machine learning to protein engineering, antibody ...

Working On Developing large-scale foundation models for biological and chemical data Building probabilistic ML systems capable of uncertainty estimation and Bayesian inference Training transformer architectures and latent variable models across molecular and genomic datasets Scaling distributed GPU training pipelines for multi-billion parameter models Working … systems in production Strong background in deep learning and modern foundation model architectures Experience with probabilistic modelling techniques such as Bayesian methods, Gaussian Processes, or variational inference Expertise in PyTorch, JAX, or similar frameworks Experience training large models on distributed infrastructure Strong software engineering and systems ...

research, through to productionisation and performance monitoring Collaborate closely with data scientists and quant researchers to tackle complex mathematical and statistical problems, sharing methods and continuing the culture of ongoing research What do you need? Strong background in statistical and mathematical modelling. Ideally holding a PhD (or equivalent experience … Physics, Mathematics, Statistics or a related discipline Working knowledge of Monte Carlo simulations, Bayesian methodologies or stochastic modelling Proficient in Python as your primary modelling tool; familiarity with PySpark, Hive, Docker or Kubernetes is advantageous but not essential Some exposure to the sports world, even a personal ...