101 to 125 of 178 Bayesian Methods Jobs in the UK

Science, Engineering, Statistics, Economics, Mathematics, or a related technical or quantitative field, or equivalent practical experience. Nice to have: Experience with advanced experimentation methodologies (e.g., Bayesian methods, multi-armed bandits, causal inference). Experience specifically building or managing platforms for internal developers/users. Proven track record of successfully scaling experimentation programs and culture within an … share your LinkedIn profile with us? If you have one, can you share your personal website? Do you have experience with advanced experimentation methodologies (e.g., Bayesian methods, multi-armed bandits, causal inference)? * Select... Do you have experience working on creation of internal testing tooling? If so, can you briefly share what? * Our managers are expected to More ❯

Science, Engineering, Statistics, Economics, Mathematics, or a related technical or quantitative field, or equivalent practical experience. Nice to have: Experience with advanced experimentation methodologies (e.g., Bayesian methods, multi-armed bandits, causal inference). Experience specifically building or managing platforms for internal developers/users. Proven track record of successfully scaling experimentation programs and culture within an More ❯

An excellent academic record, including a undergraduate degree in a STEM subject with a strong data science component or equivalent. Strong mathematical ability - particularly in linear algebra and Bayesian statistics A minimum of four days a week in our Holborn office, preferably Monday to Thursday Ability to manage time effectively and tight deadlines; flexibility to adapt to More ❯

Implement models (e.g., linear regression, gradient boosting) with training/testing datasets, cross-validation, performance visualisation, and use hosted APIs; explore techniques like time-series forecasting, clustering, or Bayesian inference. Orchestration and Parallelisation : Manage workflows with tools like Metaflow, MLFlow, AirFlow, or DVC; utilise parallelisation frameworks like PySpark or Ray for efficient model processing. Exposure to cloud More ❯

existing results in the broad 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 combine strong technical skills and More ❯

existing results in the broad 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 combine strong technical skills and More ❯

KDB Q. Preferred Qualifications Advanced degree (Master's or Ph.D.) in a quantitative field such as Computer Science, Engineering, Mathematics, Physics or related disciplines. Knowledge of Machine Learning & Bayesian techniques and libraries (e.g., Scikit Learn, TensorFlow, PyTorch) for developing predictive models. Experience with alpha-generation for algorithmic trading strategies Experience working with FX ECNs and Client-Platforms More ❯

data structures using SQL or 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 We expect to pay More ❯

United Kingdom 1 month ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 day ago London, England, United Kingdom 3 weeks ago Research Engineer - Bayesian Optimisation (Contractor) London, England, United Kingdom 1 year ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom More ❯

Postdoc in Bayesian machine learning, AstraZeneca, Cambridge, UK Mar 29, 2018 PREDICTING DRUG TOXICITY WITH BAYESIAN MACHINE LEARNING MODELS We're currently looking for talented scientists to join our innovative academic-style Postdoc. From our centre in Cambridge, UK you'll be in a global pharmaceutical environment, contributing to live projects right from the … advisor, who'll provide you with the guidance and knowledge you need to develop your career. You will be part of the Quantitative Biology group and develop comprehensive Bayesian machine learning models for predicting drug toxicity in liver, heart, and other organs. This includes predicting the mechanism as well as the probability of toxicity by incorporating scientific … will be used to account for uncertainty in the inputs and propagate this uncertainty into the predictions. In addition, you will promote the use of Bayesian methods across safety pharmacology and biology more generally. You are also expected to present your findings at key conferences and in leading publications This project is in collaboration with Prof. More ❯

in their own abilities, be happy to work alone and as part of a small team and have excellent communication and problem-solving skills. Familiarity and confidence in Bayesian statistics and simulation techniques, including experience of programming in Python or R, is essential. The department has gained a Silver Athena SWAN award as a commitment to providing More ❯

The project will contribute to accelerate the drug discovery process, leading to more economic and effective drugs that can significantly improve the health and lifestyle of millions. The resulting methods are also expected to have an impact in materials science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at … related area, with extensive research experience and a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of Bayesian methods, deep learning, deep generative models, reinforcement learning, graph neural networks. Interviews are expected to happen in July 2025. Applicants are encouraged to guarantee that referees can submit their letters More ❯

You’ll Be Working On: Developing fundamental models for sports, for example : American football, baseball, tennis, and ice hockey Pricing same-game parlays with a focus on rigorous statistical methods Applying Bayesian inference, filtering techniques, and advanced mathematical stats Collaborating with quant engineering teams to build dashboards and implement models Driving innovation within a startup-style More ❯

You’ll Be Working On: Developing fundamental models for sports, for example : American football, baseball, tennis, and ice hockey Pricing same-game parlays with a focus on rigorous statistical methods Applying Bayesian inference, filtering techniques, and advanced mathematical stats Collaborating with quant engineering teams to build dashboards and implement models Driving innovation within a startup-style More ❯

approaches when the task calls for it Values communication, empathy, and teamwork Real-world industry experience is strongly preferred, as we're looking for candidates who can apply advanced methods to practical, high-impact problems and navigate the complexity of real operational environments. We welcome applications from both mid-level and senior professionals; however, due to the complexity of … chance to learn and work with: Physical and empirical modelling of complex systems Machine learning for prediction and inference Optimisation and real-time decision engines Bayesian methods and uncertainty quantification Collaborative software development and production deployment What We Offer A truly inclusive, supportive team culture Flexible working hours and remote-first environment Competitive salary with performance More ❯

approaches when the task calls for it Values communication, empathy, and teamwork Real-world industry experience is strongly preferred, as we’re looking for candidates who can apply advanced methods to practical, high-impact problems and navigate the complexity of real operational environments. We welcome applications from both mid-level and senior professionals; however, due to the complexity of … chance to learn and work with: Physical and empirical modelling of complex systems Machine learning for prediction and inference Optimisation and real-time decision engines Bayesian methods and uncertainty quantification Collaborative software development and production deployment What We Offer A truly inclusive, supportive team culture Flexible working hours and remote-first environment Competitive salary with performance More ❯

libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work that More ❯

libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work that More ❯

detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from More ❯

approaches when the task calls for it Values communication, empathy, and teamwork Real-world industry experience is strongly preferred, as we’re looking for candidates who can apply advanced methods to practical, high-impact problems and navigate the complexity of real operational environments. We welcome applications from both mid-level and senior professionals; however, due to the complexity of … chance to learn and work with: Physical and empirical modelling of complex systems Machine learning for prediction and inference Optimisation and real-time decision engines Bayesian methods and uncertainty quantification Collaborative software development and production deployment What We Offer A truly inclusive, supportive team culture Flexible working hours and remote-first environment Competitive salary with performance More ❯

libraries such as Pandas, NumPy, 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, and people management skills. Ability More ❯

libraries such as Pandas, NumPy, 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, and people management skills. Ability More ❯

architecture to capture subtle market 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 broader research community through papers … experience in industry applying ML 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 venues (e.g., NeurIPS, ICML, ICLR More ❯

libraries such as Pandas, NumPy, 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, and people management skills. Ability More ❯

libraries such as Pandas, NumPy, 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, and people management skills. Ability More ❯