Salary: £65,000 - 65,000 per year Requirements: A degree in Mathematics, Physics, Engineering, Computer Science, Data Science or a related STEM discipline (or equivalent experience) Strong programming skills, particularly in Python Excellent problem-solving and analytical thinking High attention to detail with the ability to manage work independently Strong communication skills and confidence working in cross-functional teams Industry or postgraduate experience in machine learning and/or statistical modelling (desirable) Probabilistic programming and time-series forecasting (desirable) Experience within additive manufacturing, particularly Laser Powder Bed Fusion (desirable) Investigating and reducing variation in production or manufacturing environments (desirable) Interest in high-performance applications such as aerospace, precision engineering or advanced electronics (desirable) Responsibilities: Developing and maintaining statistical and ML models to analyse machine and material performance data Building and refining data pipelines to post-process experimental and operational data Collecting experimental data and owning frameworks that track performance over time Collaborating with testing engineers to design robust experiments and ensure high-quality training data Working with software engineers to embed modelling outputs into internal tools and platforms Communicating insights clearly to ensure your work delivers tangible value across the business Technologies: Machine Learning Python More: We are looking for a Data & Statistical Modelling Engineer to join our highly collaborative Innovation Services team at our dedicated R&D facility. In this role, you will develop statistical and machine-learning models to understand and predict variation in advanced manufacturing processes, directly influencing production reliability, quality, and performance. You will encounter real-world, high-impact engineering challenges, and we offer an environment that supports your growth and professional development. last updated 13 week of 2026