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Graduate machine learning engineer building AI systems for Formula 1 vehicle performance, aerodynamics, race strategy, and operations. Responsibilities include training statistical and deep learning models, developing machine learning pipelines for simulation and data fusion, analyzing large datasets, and deploying models into car development workflows. The role involves cross-functional collaboration, hands-on engineering projects, and applying data science to real motorsport challenges.

Support Formula 1 performance development through vehicle simulation studies, simulator and rig testing, data analysis, performance metrics, and race support. The placement provides experience across vehicle dynamics, testing, software tools, and performance insight generation for current and future cars in a high-pressure collaborative environment.

Complete a 12-month industrial placement within the Data Engineering team, building and testing ETL pipelines, writing Python and SQL for data ingestion and transformation, investigating data quality issues, documenting processes, and participating in code reviews and testing. The role supports data platforms used across Formula 1 engineering teams and develops practical skills in data engineering, cloud platforms, and software development.

Complete a 12-month industrial placement in the structures department, analyzing Formula 1 vehicle components and assemblies for safety, performance, and weight optimization. Provide feedback to design stakeholders, collaborate across engineering teams to integrate technologies, and work with engineers and project managers to meet technical requirements while participating in early-career development activities.

Support the operation, maintenance, configuration, and modernization of electronic and control systems in historic Formula 1 cars. Responsibilities include developing software tools, configuring ECUs, calibrating sensors, analyzing vehicle data, documenting legacy systems, diagnosing vehicles, and assisting with car builds, testing, and selected events.

Complete a 12-month industrial placement within the Vehicle Design team, contributing to suspension, steering, and brake component design. Develop concepts into detailed manufacturing drawings, perform engineering calculations and analysis, support testing and validation, prepare specifications and reports, and resolve design or component faults. Collaborate with simulation, structures, manufacturing, and other engineering teams while working with metallic, composite, and additive manufacturing materials.

Design composite vehicle components from concept through detailed design, supporting R&D and production. Produce structural and functional calculations, assist fault investigations, drawing and assembly checks, collaborate cross-functionally, engage suppliers, and drive continuous improvement in design practices.

Lead end-to-end payroll operations for all employees, ensuring accuracy, HMRC and pension compliance, year-end reporting, and payroll vendor and system management. Act as payroll SME, partner with People Systems, Finance and Tax, drive governance, audits, and continuous improvement, and embed AI/automation to increase efficiency and accuracy.

Own day-to-day delivery of reward and benefits operations including pay review and bonus cycles, maintain reward data integrity in HR systems, manage benefit providers and renewals, produce analytics and dashboards, support Workday Advanced Compensation, advise on policies and legislation, resolve complex queries, and lead projects and process improvements to enhance employee experience.

Lead design and integration of hydraulic, pneumatic, and gearbox systems for the F1 powertrain. Own projects from concept to on-car validation, perform stress/flow/sizing calculations, run design reviews, support manufacture and testing, resolve faults, drive continuous improvement, and mentor junior engineers.