1 to 25 of 26 Permanent Bayesian Methods Jobs in the South East

Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, PyMC and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity More ❯

Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, PyMC and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity More ❯

ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have in depth understanding of statistical modelling techniques and their More ❯

ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have in depth understanding of statistical modelling techniques and their More ❯

Points For: Experience working with large datasets or cloud platforms (e.g. GCP/Big Query). Exposure to advanced analytics approaches such as Bayesian or non-regression models. Familiarity with marketing measurement tools or platforms (e.g. Robyn, Meridian). Data viz skills in Power BI, Tableau, or More ❯

Points For: Experience working with large datasets or cloud platforms (e.g. GCP/Big Query). Exposure to advanced analytics approaches such as Bayesian or non-regression models. Familiarity with marketing measurement tools or platforms (e.g. Robyn, Meridian). Data viz skills in Power BI, Tableau, or More ❯

or consultancy environments. Bonus Points For: Familiarity with cloud platforms like GCP/BigQuery or handling large datasets. Exposure to Bayesian methods or advanced non-linear modelling approaches. Experience with open-source or proprietary MMM tools (e.g. Robyn, Meridian ). Strong data visualisation skills (Power BI More ❯

or consultancy environments. Bonus Points For: Familiarity with cloud platforms like GCP/BigQuery or handling large datasets. Exposure to Bayesian methods or advanced non-linear modelling approaches. Experience with open-source or proprietary MMM tools (e.g. Robyn, Meridian ). Strong data visualisation skills (Power BI More ❯

field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The most exceptional team members More ❯

field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The most exceptional team members More ❯

models. Job Requirements: 2+ years' experience (ideally in a syndicate) developing sports betting models from scratch, in any sport Strong fundamental understanding of Bayesian statistics, variational inference, filtering techniques, state space and hierarchical models MSc+ level degree from well respected university in any STEM subject Excellent proficiency More ❯

models. Job Requirements: 2+ years' experience (ideally in a syndicate) developing sports betting models from scratch, in any sport Strong fundamental understanding of Bayesian statistics, variational inference, filtering techniques, state space and hierarchical models MSc+ level degree from well respected university in any STEM subject Excellent proficiency More ❯

models. Job Requirements: 4+ years' experience (ideally in a syndicate) developing sports betting models from scratch, in any sport Strong fundamental understanding of Bayesian statistics, variational inference, filtering techniques, state space and hierarchical models Excellent proficiency in any programming language, but with a preference for Python or More ❯

models. Job Requirements: 4+ years' experience (ideally in a syndicate) developing sports betting models from scratch, in any sport Strong fundamental understanding of Bayesian statistics, variational inference, filtering techniques, state space and hierarchical models Excellent proficiency in any programming language, but with a preference for Python or More ❯

roles. Contributions to open-source projects in computational biology. Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization. Track record of scientific publications in machine learning or computational biology. Experience in therapeutic or diagnostic development program More ❯

roles. Contributions to open-source projects in computational biology. Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization. Track record of scientific publications in machine learning or computational biology. Experience in therapeutic or diagnostic development program More ❯

in top journals/conferences. Experience leading research projects or mentoring junior scientists (for senior roles). Background in generative models (e.g., diffusion, Bayesian Flow Networks) or multimodal ML Interest or experience in biological domains like drug discovery, genomics, proteomics, protein design etc. Responsibilities: Drive cutting-edge More ❯

in top journals/conferences. Experience leading research projects or mentoring junior scientists (for senior roles). Background in generative models (e.g., diffusion, Bayesian Flow Networks) or multimodal ML Interest or experience in biological domains like drug discovery, genomics, proteomics, protein design etc. Responsibilities: Drive cutting-edge More ❯

day duties and responsibilities will include, but won’t be limited to building and improving sports prediction models To research recent advances in Bayesian updating to better extract signals from noisy data To design and build your own models using your own ideas To work closely with More ❯

day duties and responsibilities will include, but won’t be limited to building and improving sports prediction models To research recent advances in Bayesian updating to better extract signals from noisy data To design and build your own models using your own ideas To work closely with More ❯

tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation of A/B tests. • Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). • Experience with application of More ❯

tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation of A/B tests. • Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). • Experience with application of More ❯

systems tailored for biomedical discovery Contribute to long-term research programs focused on autonomous AI agents Lead and implement state-of-the-art ML methods into a therapeutic platform Publish high-impact research and support the development of patents Your Experience PhD/MSc (or equivalent) in Machine Learning … LLMs, generative AI, optimization, or sequential learning Experience with deep learning frameworks (TensorFlow, PyTorch, JAX, etc.) Expertise in one or more: reinforcement learning, Bayesian optimization, optimal experimental design, agents, or causality Experience in drug/target discovery, treatment modeling, or medical AI research Publications in high-impact More ❯

systems tailored for biomedical discovery Contribute to long-term research programs focused on autonomous AI agents Lead and implement state-of-the-art ML methods into a therapeutic platform Publish high-impact research and support the development of patents Your Experience PhD/MSc (or equivalent) in Machine Learning … LLMs, generative AI, optimization, or sequential learning Experience with deep learning frameworks (TensorFlow, PyTorch, JAX, etc.) Expertise in one or more: reinforcement learning, Bayesian optimization, optimal experimental design, agents, or causality Experience in drug/target discovery, treatment modeling, or medical AI research Publications in high-impact More ❯

talented Quantitative Analyst to join their London based team. The successful candidate will use the extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative modelling to solve unique … challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with football knowledge. Key Requirements … predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn’t expected, you should have a More ❯