Machine Learning Engineer

Job Title: Machine Learning Engineer
Reports to: Lead Engineer – CFD Process

Cadillac Formula 1™ is excited to be on the grid for the 2026 FIA Formula One™ World Championship. Our new team is gearing up for rapid growth. To achieve our goals, we need to create and sustain a high-performance culture in every area. We have ambitious plans to build an outstanding operation that can compete at the highest level. 

From exceptional Engineering and Design talent to a world-class race team, supported by specialists in off-track roles - we are assembling the expertise needed to drive this operation forward and compete at the highest level. 

Being a part of this team, will accelerate your career. Take a closer look at the role: 

Job Description:

We have an exciting opportunity for a Machine Learning Engineer to join the Team at our new Silverstone Facility.  In this role, you will be involved in supporting the development of AI and machine learning techniques to enhance capabilities and effectiveness.

What you will be doing:

·       Innovate in leveraging state-of-the-art machine learning techniques to deliver capability requirements.

·       Design and build data pipelines utilising AI/ML to enhance the efficiency and effectiveness of our operations.

·       Identify the best libraries and frameworks for the application of machine learning techniques pertinent to the technical applications.

·       Apply technical capabilities across workstreams spanning machine learning, data science, and numerical simulation.

·       Collaborate with other teams to develop, train and validate models.

·       Investigate and research the latest machine learning technologies and techniques, presenting and sharing knowledge between team members.

Requirements

·       A degree in a relevant discipline, such as engineering, physics, computer science, mathematics, or similar.

·       A minimum of 2 years relevant experience in a similar role, ideally in the motorsport  industry.

·       A strong background in statistics, data science, machine learning algorithms, and optimisation techniques.

·       Experience in building machine learning models with PyTorch or equivalent, and using tools such as PyVista and NumPy.

·       Practical experience with software development methods and best practices, such as using version control software.

·       Enthusiasm for the application of machine learning methods to solve engineering problems.

·       Communicate effectively with key stakeholders/directors.

·       Clear and concise communication, verbally and with the use of email.

·       Strong levels of IT skills including MS Office, Word, Excel, and PowerPoint.

·       Positively contribute to an open and inclusive culture.

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. 

This job description reflects the major tasks to be carried out by the postholder and identifies the level of responsibility at which the postholder will be required to work. Subject to the discretion of the Company, the postholder will carry out the duties specified above together with such other duties or tasks for the Company as reasonably required. You may also be required to perform additional duties for the Company from time to time commensurate with your skills and experience. 

Please be aware that we will be reviewing applicants on a rolling basis and this job posting will close once a suitable candidate is identified. We encourage all interested individuals to submit their application as soon as possible.  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.