76 to 100 of 147 Bayesian Methods Jobs

similar sports modelling roles, with a track record of delivering algorithmic data-driven products to production. Required Skills Extensive knowledge of machine learning algorithms and tooling. Experience with Bayesian models, Markov chains and multivariate time-series modelling. Advanced programming skills. Experience deploying code within production environments and applying software development best practices such as version control, unit More ❯

Google Analytics, Adobe Analytics, and marketing automation platforms Experience leading a team of marketing analysts/marketing scientists Advanced analytics techniques: expertise in regression models (e.g. ridge regression, Bayesian regression), time series analysis, forecasting + end to end MMM ownership experience Strong SQL and Python Excellent leadership and project management skills, with the ability to lead cross More ❯

doing causal inference/segmentation • Ability to explain ideas and present results to non-technical audiences • Strong stakeholder management skills • Experience with marketing mix models and/or Bayesian time series would be a big plus • Strong theoretical understanding and experience with key classification and regression models is a plus Please note this role is offered on More ❯

simulation of the global macro economy, drivers of financial markets, and individual assets. The team is building and connecting innovative models and methodologies across these spaces in a Bayesian framework. The engine is used in scenario analysis and portfolio construction/strategic asset allocation. Responsibilities for this team include: Doing theoretical research to come up with new … modeling is a plus Demonstrated ability to conduct high quality empirical research or theoretical research relevant for empirical analysis. Knowledge of financial mathematics (derivatives pricing). Experience with Bayesian or experience with machine learning Able to communicate quantitative information and collaborate effectively in a team environment Able to communicate with internal stakeholders and external clients Solid programming 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 ❯

Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the overall … biostatistics, or other quantitative field (or equivalent). More than 6 years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net 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 ❯

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 ❯

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 Position No Location London Position Type Full time 37.5 hours per week About Huawei Research And Development UK Limited Founded … technologies. We invite you to 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 for autonomous decision-making under More ❯

Job Description Our client is revolutionising healthcare for millions of patients worldwide. They are at the forefront of wearable technology, connecting patients and physicians with continuous, data-driven dialogue. This unique position offers daily directed guidance that redefines primary care More ❯

United Kingdom 6 days 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 ❯

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 ❯

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 ❯

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 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 ❯

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 ❯

Pandas, NumPy, SciPy, Matplotlib, and 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. Strong commercial instincts. Familiarity with More ❯