Machine Learning Specialist (Battery)

Posted on behalf of

Volklec

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!