Our client, an innovative UK-based manufacturing business specializing in sustainable battery production for electric vehicles is currently hiring a Machine Learning Specialist. The successful candidate will be on developing an efficient data framework, identifying outliers, and extracting key performance trends. The Machine Learning Specialist will: Design and manage a structured database for battery testing and manufacturing data, ensuring efficient storage, retrieval, and analysis. Develop statistical models to identify correlations between formation cycles and long-term battery performance. Transition from statistical analysis to machine learning applications, developing predictive models for cycle life estimation, degradation analysis, and manufacturing optimization. Implement machine learning models for early failure prediction and process optimization, integrating findings into production workflows. Collaborate with electrochemical engineers to translate data insights into actionable improvements in battery chemistry and manufacturing processes. The Machine Learning Specialist will have: Strong background in data analysis, statistical modeling, and database management. Proficiency in Python, MATLAB, SQL, and data science libraries such as Pandas, NumPy, and Scikit-learn. Experience working with large-scale time-series data, particularly in battery testing or industrial applications. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Minitab, Origin, or Tableau). Knowledge of battery technology, electrochemistry, or energy storage systems is highly desirable. Experience working with cloud-based data storage and processing platforms (AWS, Azure, or GCP). Degree in Materials Science, Electrochemistry, Data Science, Computer Science, Electrical Engineering, or a related field (PhD preferred). Please apply using an up-to-date version of your CV and a member of the EVera team will contact you shortly to provide more details