76 to 100 of 142 Bayesian Methods Jobs in London

SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management More ❯

SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management More ❯

SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management More ❯

SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management More ❯

SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management More ❯

Seaborn. Skilled in developing and deploying credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is a plus. Strong communication skills, with the ability to convey complex analysis to both technical and non-technical stakeholders. More ❯

Python for data analysis. Statistical mindset with the ability to setup, run and analyse RCTs and split tests. Extra bonus for knowledge of Bayesian Statistics. Passionate about helping small businesses thrive-belief in our mission is important! The salary We expect to pay More ❯

Python for data analysis. Statistical mindset with the ability to setup, run and analyse RCTs and split tests. Extra bonus for knowledge of Bayesian Statistics. Experience optimising user journeys and driving customer engagement. Passionate about helping small businesses thrive-belief in our mission is important! The salary More ❯

Python for data analysis. Statistical mindset with the ability to setup, run and analyse RCTs and split tests. Extra bonus for knowledge of Bayesian Statistics. Experience optimising user journeys and driving customer engagement. Passionate about helping small businesses thrive-belief in our mission is important! The salary More ❯

also a plus. Proficient in statistical modelling and ML techniques, including regression, Bayesian inference, and probabilistic programming. Experience with PyMC, MCMC methods, and scenario-based optimization. Strong SQL (or Spark) skills for large-scale data extraction and preparation. Solid foundation in statistical theory and applied mathematics. More ❯

also a plus. Proficient in statistical modelling and ML techniques, including regression, Bayesian inference, and probabilistic programming. Experience with PyMC, MCMC methods, and scenario-based optimization. Strong SQL (or Spark) skills for large-scale data extraction and preparation. Solid foundation in statistical theory and applied mathematics. More ❯

also a plus. Proficient in statistical modelling and ML techniques, including regression, Bayesian inference, and probabilistic programming. Experience with PyMC, MCMC methods, and scenario-based optimization. Strong SQL (or Spark) skills for large-scale data extraction and preparation. Solid foundation in statistical theory and applied mathematics. More ❯

and Mr Green and we're looking for an experienced (Leeds or London based) Data Scientist to be responsible for developing AI/ML methods, processes and systems to extract knowledge or insights to drive the future of artificial intelligence. What you will be doing: Applying and/or … developing statistical modelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Synthesising problems into data question(s). Converting data into practical insights. Analysing and investigating data quality for identified data and communicate it to Product Owner More ❯

competence. The ability to code or have programming experience, especially in Python. Some experience with theoretical concepts of statistical learning (e.g. hypothesis testing, Bayesian Inference, Regression, SVM, Random Forests, Neural Networks, Natural Language Processing, optimisation). Experience with some coding libraries frequently used in data science. The More ❯

Background in linear algebra and probability/stochastic processes Familiarity with non-linear optimisation frameworks like Ceres, g2o, GTSAM, etc Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte Carlo) The salary range for this role is an estimate based on a wide range of compensation More ❯

signals. They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML-driven trading. You’ll also contribute to hiring, mentor teammates, and share insights from the … to challenging problems Expertise in one or more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier 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: 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 ❯

to build sports models. Role Overview Develop American football, baseball, tennis & ice hockey models & more Price same-game parlays using advanced stats Apply Bayesian inference, filtering & mathematical modeling Work with quant engineers on dashboards & implementation Ideal Candidate Experience in syndicate or sports quant teams Expertise in US More ❯

to build sports models. Role Overview Develop American football, baseball, tennis & ice hockey models & more Price same-game parlays using advanced stats Apply Bayesian inference, filtering & mathematical modeling Work with quant engineers on dashboards & implementation Ideal Candidate Strong quant background (Bachelor’s/Master’s; PhD a More ❯

to build sports models. Role Overview Develop American football, baseball, tennis & ice hockey models & more Price same-game parlays using advanced stats Apply Bayesian inference, filtering & mathematical modeling Work with quant engineers on dashboards & implementation Ideal Candidate Strong quant background (Bachelor’s/Master’s; PhD a More ❯

Research Engineer - Bayesian Optimisation (Contractor) Join to apply for the Research Engineer - Bayesian Optimisation (Contractor) role at Huawei Technologies Research & Development (UK) Ltd Research Engineer - Bayesian Optimisation (Contractor) 1 year ago Be among the first 25 applicants Join to apply for … the Research Engineer - Bayesian Optimisation (Contractor) role at Huawei Technologies Research & Development (UK) Ltd Get AI-powered advice on this job and more exclusive features. Job Description Job Title Research Engineer – Bayesian Optimization Department/Group Reinforcement Learning Team Reports To Haitham Ammar Manager … join us on this exciting journey and drive your career forward. Job Summary Huawei is looking for a Research Engineer with experience in Bayesian optimization . We wish to recruit exceptional candidates to pursue research in various aspects of reinforcement learning and Bayesian optimization 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 #J-18808-Ljbffr More ❯

PyTorch, SciKitLearn, TensorFlow. Cloud infrastructure (AWS/Azure) API integration capabilities; preferably REST API. Data processing at scale Extensive knowledge and experience with bayesian neural networks is preferred. Qualifications: Must Have: A Masters Degree in Computer Science, Artificial Intelligence, Mechanical or Electronical Engineering. MUST have: Strong background More ❯