2 of 2 Part-Time Machine Learning Jobs in the Thames Valley

water resources modelling platform, with opportunities to contribute across a broader flood modelling software suite. A key element of the role will involve applying machine learning techniques alongside established hydrological models to enhance performance, insight, and innovation. Key Responsibilities Develop and manage hydrological methods within a national water … resource modelling platform. Contribute to the development and enhancement of UK flood estimation and modelling tools. Identify and implement machine learning approaches to support and extend existing hydrological models. Translate scientific research into robust, user-focused commercial software solutions. Support software testing, validation, and user interface development. Engage ...

tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients … What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality ...