17 of 17 Bayesian Methods Jobs in England

least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with ...

least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with ...

least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with ...

build datasets suited for modelling and in-depth analysis. Design and execute measurement frameworks— including A/B testing, causal impact analysis, and multivariate methods— selecting the appropriate technique based on the business question and clearly communicating trade-offs. Build, evaluate, and iterate on statistical models (e.g., regression, clustering … analytics, or a related domain. Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop. Exposure to Bayesian methods, causal inference, or multi‐armed bandit approaches. Experience collaborating with Machine Learning or Data Science teams to validate and scale models for business impact. ...

detection", etc Analyse data to help in better decision making Supporting initiatives for data integrity and normalization Data mining using state‐of‐the‐art methods Doing ad‐hoc analysis and presenting results in a clear manner Managing and designing the reporting environment, including data sources, security, and metadata Qualifications … Machine learning development projects Job Skills & Responsibilities: Experience in machine learning Exposure to machine learning models and corresponding statistics like K‐means, Bayesian, Clustering Strong technical skills with Python along with NumPy, Pandas, Scikit‐Learn Machine learning experience -> predictive and prescriptive modelling Data wrangling and data cleansing ...

engineers • Some front-end/product sense (you care about shipping usable tools, not just notebooks) • Experience with causal inference, Bayesian methods, or mechanistic simulation ...

engineers • Some front-end/product sense (you care about shipping usable tools, not just notebooks) • Experience with causal inference, Bayesian methods, or mechanistic simulation ...

data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems. Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech ...

snowflake, data visualisation). Some extra skills that are great (but not essential): Experience with a customer facing agentic system. Experience with Bayesian inference, especially with A/B testing. Additional Information We’re people without borders — without judgement or prejudice, too. We want to work with ...

seeking a skilled Machine Learning Scientist for its London Research Centre. The role centers on advancing AI technologies, particularly in reinforcement learning and Bayesian optimisation. Successful candidates will have a PhD in Computer Science and a strong publication record in top-tier ML venues. This opportunity involves ...

possess deep expertise in lifetime value (LTV) modelling and econometrics/marketing mix modelling, complemented by a strong understanding of statistics, particularly Bayesian reasoning, which enables you to accurately estimate results and know when to deliver actionable insights. Your technical toolkit includes experience with Bayesian ...

edge algorithms that combine scientific and applied innovation. Candidates should have a strong academic background in Computer Science, expertise in reinforcement learning or Bayesian optimisation, and proficiency in Python. This is an exciting opportunity to contribute to high-impact AI projects within a dynamic multinational team. #J ...

unclear. You should apply if... You have deep expertise across a range of ML techniques (e.g. Transformer‐based NLP, Deep Learning, Tree‐based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality. You have a proven track record ...

shelf AI. This organisation has built its reputation on proprietary Bayesian tools and deep scientific capability, using advanced sampling methods and modern AI technologies to tackle problems that standard approaches cant. If you enjoy difficult technical challenges, rigorous thinking and working at the intersection of research … Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute to the development of the companys core scientific and technical capabilities Collaborate with clients ...

shelf AI. This organisation has built its reputation on proprietary Bayesian tools and deep scientific capability, using advanced sampling methods and modern AI technologies to tackle problems that standard approaches can’t. If you enjoy difficult technical challenges, rigorous thinking and working at the intersection … Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute to the development of the company’s core scientific and technical capabilities Collaborate with ...

grow and you to mentor. What you bring to the table Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. Ability to scope and effectively deliver projects. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend … 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 ...

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 ...

recognition, including Huawei’s Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental … eagerness to translate cutting-edge ideas into working prototypes and real-world applications. Key Responsibilities Conduct original research in reinforcement learning or Bayesian optimisation for LLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML). Design and implement new algorithms and models that ...

recognition, including Huawei’s Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state‐of‐the‐art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision‐language models (VLMs). You will work at the intersection of fundamental … tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability ...