8 of 8 Probabilistic Modelling Jobs in England

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 ...

quantitative field Experience working with financial or private markets data Exposure to alternative investments or private equity datasets Knowledge of causal inference, probabilistic modelling, or knowledge graphs Why Apply High-impact role with ownership and autonomy Work on AI initiatives in a growing team Strong engineering and data ...

Machine Learning Researcher you will work fairly independently, developing your own research programme, with a view to developing new tools and techniques for probabilistic models, Bayesian optimisation and related fields. You will actively engage in team collaborations to meet research goals and report your research findings both internally … real-world problems You have an advanced knowledge of decision making techniques e.g. Bayesian optimisation, bandits, reinforcement learning, active learning and/or probabilistic modelling and methods e.g. Gaussian processes, Bayesian neural networks, Variational inference, etc. You have experience with Python numerical programming e.g. NumPy, TensorFlow, PyTorch Ideally ...

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 ...

Partnering closely with senior stakeholders across product, engineering, operations and commercial teams to ensure insights are embedded in decision making. Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy. Helping the business prioritise where data science … measurable commercial impact through data science in a complex business environment. Experience operating in cross functional settings and influencing senior stakeholders. Deep understanding of probabilistic modelling, statistics and machine learning, ideally grounded in an academic background such as mathematics, statistics, physics or a related field. The ability ...

enjoy solving complex problems proactively but know when to ask for help from domain experts, researchers and engineers You have strong foundations in probabilistic modelling (Gaussian processes, Bayesian methods, uncertainty quantification) You're a confident communicator, comfortable liaising with clients What's in it for you: Competitive salary ...

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. ...