We are seeking anAI/ML Scientistto apply machine learning and data science techniques to accelerate the discovery and optimisation of sustainable polymers. You will work closely with chemists and engineers to design predictive models that guide experiments, reduce trial-and-error, and identify the most promising formulations for scale-up.
This is a pioneering role where AI meets deeptech R&D, with the potential to cut years off the materials development cycle.
Responsibilities
- Buildpredictive ML modelsto estimate polymer properties (e.g. absorption, swelling, biodegradability) from formulation and synthesis data.
- Develop algorithms tooptimise formulationsfor performance and cost simultaneously.
- Useexperimental datasetsto train, validate, and refine models, ensuring practical relevance.
- Collaborate with chemists to design experiments guided by model predictions.
- Exploregenerative AI approachesto propose novel biodegradable SAP formulations.
- Integrate computational workflows with lab processes to create aclosed-loop discovery cycle.
- Present insights to both technical and commercial teams to inform R&D and strategy.
AI/ML Scientist – Predictive Modelling & Optimisation of Sustainable Polymers in Sefton employer: A&B Smart Materials
A&B Smart Materials is an exceptional employer, offering a unique opportunity to work at the forefront of sustainable materials innovation in Oxford. With a collaborative and results-oriented culture, employees enjoy competitive remuneration, meaningful equity, and significant influence over product development and technical strategy. The company fosters rapid personal and professional growth, supported by world-class investors and advisors, while contributing to a mission that aims to transform a global industry and establish new environmental standards.
