Aerodynamics Industrial Placements

2) Aerodynamics AI & Machine Learning

We have an exciting opportunity for a Machine Learning / AI Industrial Placement student to join our Aerodynamics Department and work at the forefront of performance-driven engineering.

Formula 1® generates vast quantities of aerodynamic, simulation and engineering data. Converting this information into actionable insight is critical to performance development. Working within a multidisciplinary engineering and data team, you will help develop next-generation AI tools that support real engineering decision-making.

This placement offers a unique opportunity to apply cutting-edge machine learning techniques within a Formula 1® environment and contribute to tools used by engineers across the department.

• Develop machine learning models to analyse technical imagery, simulation outputs and high-dimensional engineering data
• Identify trends, differences and anomalies within complex datasets to support performance analysis. Create embedding models and similarity metrics to enable intelligent comparison of engineering data
• Apply large language models (LLMs) to summarise and synthesise technical information
• Design retrieval-augmented systems using historical engineering and simulation data
• Build internal tools and interfaces that help engineers extract insight from data
• Deploy and test prototype systems using modern software frameworks
• Work closely with engineers and domain experts to guide model development and interpret outputs

What do we need from you?

Aerodynamics Test Engineering

• Currently studying towards a degree in Mechanical Engineering, Aeronautical Engineering, or a related engineering discipline
• Strong interest in aerodynamics, experimental engineering and engineering technology
• Good understanding of engineering principles, mathematics and data analysis
• Analytical and methodical approach to problem solving
• Strong communication and teamwork skills

Aerodynamics AI & Machine Learning

• Currently studying Computer Science, Engineering, Data Science, Mathematics, Artificial Intelligence, or a related discipline
• Strong Python programming skills
• Good understanding of machine learning fundamentals
• Experience in at least one of the following areas:
  • Computer Vision and image-based machine learning
  • Natural Language Processing (NLP), Large Language Models (LLMs), or information retrieval systems
• Ability to write clean, structured and well-documented code
• Curious, proactive and able to work independently while collaborating effectively with others

A team like no other.

The Cadillac Formula 1® Team challenges conventions and redefines success through bold ambition, cutting-edge innovation, and an unwavering commitment to precision and excellence—on and off the track. This includes offering industry-leading pension, generous time off and, as part of a global brand, huge potential for career development.

As an equal opportunities employer, we are committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy or maternity, race or ethnicity, religion or belief, gender identity or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.

At Cadillac Formula 1® Team, all Team Members are expected to actively support and uphold our policies and procedures, including those focused on Environmental responsibility, Sustainability initiatives, Inclusion and Health and Safety practices.

Please note that additional security checks may be required as part of the recruitment process. This may include a background check covering a minimum of the past five years and a criminal record check.