9 of 9 Probabilistic Modelling Jobs in the UK

Computer Science or Physics (PhD or MSc preferred). Research Expertise: Deep understanding of Machine Learning theory, specifically in areas like Time-Series Forecasting , Probabilistic Modelling , or Combinatorial Optimization . Technical Proficiency: Expert-level Python skills with deep experience in libraries such as PyTorch, TensorFlow, or Scikit-learn ...

Data & Statistical Modelling Engineer Oxfordshire £Competitive + Good Benefits Our client is a fast-growing, venture-backed advanced manufacturing company, redefining how high-performance metal components are designed and produced. By combining machine learning, physics-based modelling, and metal 3D printing, the team is pushing the boundaries … ready outputs Collaborating with materials scientists, process engineers, and software developers to improve production reliability and scalability This is not dashboard-building. It is modelling physical systems and improving how they behave in the real world. The Ideal Candidate Background in mathematics, physics, engineering, computer science, or a related ...

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 ...

decisions and impact the scale up of manufacturing operations. Machine Learning Engineer Skills you will use: Strong Mathematical/Statistics background Coding in Python Probabilistic modelling You will learn: To develop Machine Learning models for statistical process control To model and predict performance of high tech manufacturing systems ...

complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured … other data scientists, engineers and stakeholders to deliver production-ready solutions. Your work will focus on delivering high-value outcomes, including: Advanced statistical and probabilistic modelling. Machine learning and deep learning model development. Building scalable, maintainable analytical pipelines. Delivering insight and models that perform reliably in complex operational environments. ...

complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured … other data scientists, engineers and stakeholders to deliver production-ready solutions. Your work will focus on delivering high-value outcomes, including: Advanced statistical and probabilistic modelling. Machine learning and deep learning model development. Building scalable, maintainable analytical pipelines. Delivering insight and models that perform reliably in complex operational environments. ...