7 of 7 Probabilistic Modelling Jobs in the UK

efficient machine learning 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 … tier machine learning conferences 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 ...

Innovation Software Engineer (Numerical Modelling, AI/ML, C++/Python) Guildford, Surrey (On-site) £65000 - £100,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your … broad mandate to work across the entire suite of internal products. You'll drive early stage technical innovation by researching and prototyping new modelling, optimisation, AI, and simulation methods, then turning those ideas into robust, high quality software. The role involves designing algorithms and numerical techniques for complex scientific ...

Developing software-of-tomorrow for innovative scientific engineering modelling Guildford, Surrey; to £80,000 DoE + Benefits Based in modern offices in Guildford, this scientific engineering company develops state-of-the-art modelling and optimisation software used in geological industries. Their tools enable critical decision-making and simplify … product features with practical value. Key areas of interest are applied algorithms for model development, AI/ML, optimisation, digital twins, agent-based and probabilistic systems and advanced computing. This role would suit someone with a research mindset, who would not be fazed by uncertainty, and who would enjoy ...

with engineers and researchers to develop AI that operates reliably in complex, changing environments. The Role You’ll be responsible for designing and implementing probabilistic and machine learning models that support navigation, planning and adaptive control. A key part of the position will involve integrating these models into real … involved not just in development, but also in shaping system architecture and contributing to longer-term technical direction. Key Responsibilities Develop probabilistic and machine learning models for decision-making and control Build and refine navigation and planning systems Integrate AI algorithms into real-time robotic platforms Optimise models ...

Learning Research Engineer, to help design and develop the core ML-driven analysis engine that underpins the entire platform. This is not a narrow modelling role. It’s an opportunity to help define the research direction, shape the technical foundations, and influence how the platform evolves from day one. … scalable software systems. What You’ll Be 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 ...

statements and solution architectures Design, develop, and optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such … feature engineering strategies and model performance enhancement Collaborate with engineering teams to transition models into scalable production systems Mentor data scientists and uphold modelling standards, documentation, and reproducibility best practices Contribute to reusable ML frameworks, accelerators, and innovation initiatives Required Experience & Qualifications 15+ years of total professional experience , including ...

statements and solution architectures Design, develop, and optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such … feature engineering strategies and model performance enhancement Collaborate with engineering teams to transition models into scalable production systems Mentor data scientists and uphold modelling standards, documentation, and reproducibility best practices Contribute to reusable ML frameworks, accelerators, and innovation initiatives Required Experience & Qualifications 15+ years of total professional experience , including ...