Machine Learning Engineer

Machine Learning Engineer

Brackley, UK

At the Mercedes-AMG Petronas Formula One Team, a group of passionate and determined people work to design, develop, manufacture and race the cars with the aim of fighting for world championships each and every year.

Whether working in our Operations, Technical, Race or Business Support functions, we are all in and aspire to build the greatest team in the history of our sport.

Every individual plays their part. No stone is left unturned in the chase for every tenth of a second. The history of our sport is long and rich, and we are continuing our journey with renewed effort year on year. Record books remember the names of a few, but history is written by the many.

About the role:

We are looking for a Machine Learning Engineer to join the AI Development team within the Performance Capability Department. The aim of the AI Development team is to provide best-in-class AI technologies and models to enhance the efficiency and effectiveness of our operations.

The Machine Learning Engineer is a position tasked with creating and sustaining AI applications within the AI development team.  This role will involve collaboration with fellow engineers and engagement with various departments and will report to the Head of Performance Software Applications.

What you’ll be doing:

• Implement machine learning frameworks and libraries for diverse applications.

• Conduct experiments and evaluations to enhance and validate AI algorithms.

• Develop, train, and validate AI models to address complex technical challenges.

• Create and oversee tools for the lifecycle and integration of AI models.

• Implement data analysis and pre-processing techniques to enhance data comprehension and model performance.

• Collaborate with other teams to integrate and deploy the developed models.

What we’re looking for:

• A strong desire to create best in class AI models in a motorsport environment, aligning personal skills and interests with business objectives.

• Exceptional communication and teamwork abilities.

• A Master or PhD degree in engineering, mathematics, physics, data science, or a related scientific field.

• A solid foundation in statistics, data science, linear algebra, machine learning algorithms, and optimization.

• Extensive knowledge of Python libraries and frameworks pertinent to AI development.

• Practical experience with software development methodologies.

Benefits:

Our riverside campus is powered by 100% renewably sourced energy and features an on-site gym and exercise studio, subsidised restaurant and on-site parking with EV chargers available.

We offer a competitive and attractive package of benefits including a generous bonus scheme, Mercedes car lease scheme, private medical cover, life assurance and 25 days holiday. We pride ourselves on our family-friendly environment, employee well-being programme and offer flexible working opportunities.

Why Us:

At the heart of our performance are our people. Every member of our team has a voice and plays their part in contributing to our successes on and off the racetrack. We take pride in creating an innovative, collaborative and high-performance culture where all of our team members are respected, empowered and valued.

Through our Accelerate 25 programme, we are continuously working to make our team even more diverse and inclusive. Whatever your background, we believe that you will find working with us rewarding and enriching.

Your Application:

We will ask you to complete a questionnaire as well as submitting a cover letter and CV. Please upload your cover letter and CV as one single PDF file.