7 of 7 Remote/Hybrid Bayesian Methods Jobs in the UK

BigQuery, Snowflake, Redshift) LLMs/AI APIs Git/GitHub Nice to have Data Transformation (dbt) Semantic Layers (Cube, Looker, dbt Metrics) TypeScript Bayesian modeling experience, ideally Marketing Mix Models (PyMC, Stan, or similar), understanding priors, MCMC sampling, posterior diagnostics. Causal inference/experimentation – geo experiments (matched ...

equivalent.Proven ability to conceptualize business problems and solve them through data science solutions. Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods. Strong passion for solving problems and finding patterns and ...

with time‐series modelling and industrial or IoT data. You have experience in any of: dynamical systems, reinforcement learning, system identification, optimisation or Bayesian statistics. You are used to working in a fast‐paced startup environment with an agile process. You have a degree in machine learning ...

products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast‐growing start‐up We serve lunch every weekday ...

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 ...

bring to the table Ability to scope and effectively deliver projects. Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. Strong problem‐solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills … applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs; geometric deep learning or other 3D computer vision methods for point‐cloud or mesh‐structured data; generative models for geometry and ...

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 What's in it for you? Genuine scope ...