Machine Learning Engineer

A new Formula 1 racing team entering the FIA Formula One World Championship in 2026
Silverstone, Towcester NN12, UK
Machine Learning
Mid-Level Software Engineer
In-Person
2+ years of experience
Automotive · AI

Description For Machine Learning Engineer

Join Cadillac Formula 1 Team, an exciting new entrant to the 2026 FIA Formula One World Championship, as a Machine Learning Engineer at their Silverstone facility. This role offers a unique opportunity to apply cutting-edge AI and machine learning techniques in the high-performance world of Formula 1 racing. You'll be responsible for developing innovative ML solutions, building efficient data pipelines, and collaborating with cross-functional teams to enhance the team's technical capabilities.

The position requires a blend of technical expertise in machine learning, data science, and software development, with practical experience in tools like PyTorch, PyVista, and NumPy. You'll be working in a fast-paced environment where your contributions will directly impact the team's performance on the global stage.

As part of a growing operation aiming to compete at the highest level, you'll have the opportunity to shape the future of AI applications in motorsport. The role offers exposure to complex engineering problems and the chance to work with state-of-the-art technology. Cadillac F1 Team is building a diverse, inclusive culture where innovation and high performance are paramount.

This is an exceptional opportunity for a mid-level machine learning engineer to accelerate their career in the prestigious world of Formula 1, working with cutting-edge technology and contributing to the success of a new team in one of the most technologically advanced sports in the world.

Last updated an hour ago

Responsibilities For Machine Learning Engineer

  • Innovate in leveraging state-of-the-art machine learning techniques to deliver capability requirements
  • Design and build data pipelines utilizing AI/ML to enhance operations efficiency
  • Identify best libraries and frameworks for machine learning applications
  • Apply technical capabilities across machine learning, data science, and numerical simulation
  • Collaborate with other teams to develop, train and validate models
  • Research latest machine learning technologies and share knowledge

Requirements For Machine Learning Engineer

Python
  • Degree in engineering, physics, computer science, mathematics, or similar
  • Minimum 2 years relevant experience, ideally in motorsport industry
  • Strong background in statistics, data science, machine learning algorithms, and optimization techniques
  • Experience in building machine learning models with PyTorch or equivalent, PyVista and NumPy
  • Experience with software development methods and version control
  • Strong communication skills
  • Proficiency in MS Office applications
  • Ability to contribute to an open and inclusive culture

Interested in this job?

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