11 of 11 Bayesian Methods Jobs

solutions for complex engineering and optimisation problems. This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly publishes … and contributes to open-source ML libraries. The Role You'll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research with practical application, including contributions to product ...

Doing Designing novel algorithmic and machine learning approaches to interpret complex scientific data Developing mathematical models (including probabilistic/Bayesian methods) Building proof-of-concept tools and production-ready Python systems Managing and improving data pipelines from experimental instrumentation Continuously evaluating, refining, and stress-testing models … depth. What They’re Looking For... Essential STEM degree (undergraduate or above) Strong Python software engineering skills Comfort working with mathematical modelling and statistical methods Intellectual curiosity and willingness to explore new approaches Nice to Have Experience in machine learning (research or applied) Probabilistic modelling or Bayesian ...

their most pressing strategic challenges. Technical Leadership: Architect robust, scalable data pipelines and state-of-the-art models (including LLMs, Reinforcement Learning, or Bayesian Inference) tailored to specific client needs. Mentorship: Guide and upskill junior Data Scientists, fostering a culture of rigorous peer review, clean coding standards ...

background in algorithm design, analytical problem-solving, and statistical inference Advanced data analysis using NumPy, SciPy, and statistical modelling (including Bayesian methods) Proficient in Git, collaborative workflows, clean code practices, and performance-oriented design Experience with SQL databases (PostgreSQL/MySQL), schema design, and query optimisation ...

like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder Collaboration : Demonstrated ability to work directly with stakeholders to scope, iterate ...

programming ( C# or Python ) and (b) databases ( SQL and NoSQL ). Experience with various modelling techniques (e.g. Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis etc.) A demonstrable interest in developing forecasting models for sports. A good understanding of betting concepts and markets. Desirable ...

related field Strong Python and C++ skills Experience with frameworks such as PyTorch, TensorFlow or JAX Background in probabilistic modelling, Bayesian methods or reinforcement learning Desirable: Experience working with robotic systems or autonomous platforms Familiarity with SLAM, path planning or multi-agent systems Knowledge ...

Experience with sensor data such as Radar and various infrared sensors Experience developing and implementing probabilistic models to combine sensor data such as Bayesian reasoning, Kalman filtering and evidence theory Experience with advanced probability statistics and applying in real world scenarios Travel: 10% Drug Free Workplace: Boeing ...

Experience with sensor data such as Radar and various infrared sensors Experience developing and implementing probabilistic models to combine sensor data such as Bayesian reasoning, Kalman filtering and evidence theory Experience with advanced probability statistics and applying in real world scenarios Travel: 10% Drug Free Workplace: Boeing ...

Automation, Scripting & Visualization: Leveraging automated data processing, scripting, and interactive visualization to uncover insights, streamline workflows, and support sustainability goals. Design of Experiments & Bayesian Optimization: Implementing Bayesian and state-of-the-art approaches to maximize experiment efficiency and accelerate material and process development. Materials ...

partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches. As the company launches a new AI-driven product, they … and segmentation Automate repeat analytical tasks for trackers and long-running projects Run end-to-end research projects (primarily quant; some qual/mixed methods) Contribute to proposals and RFPs About You Essential 3+ years' experience in analytics and/or research using survey data Hands-on experience with ...