Graduate AI Machine Learning Engineer

Williams Racing; Grove; On-site; GBP 30,000 - 42,000; Full time

Benefits offered by this job

Competitive benefits

Exclusive events

Subsidised dining

Special car schemes

24/7 gym access with fitness classes

Job summary

Williams Racing invites graduates to join Atlassian Williams F1 Team's two-year Graduate Programme. You’ll rotate across teams, work on live motorsport projects and gain leadership insights from the Early Careers team and mentors.

You'll apply machine learning, data science, statistics and simulation to real problems—from vehicle dynamics to race strategy—building models that directly influence car development and performance.

Qualifications

• Degree in Computer Science, Mathematics, Physics, Engineering, Statistics or similar.
• Strong Python and ML framework experience.
• Exposure to AI techniques and models to improve performance.

Responsibilities

• Help design and train AI models for vehicle performance, aerodynamics, race strategy and operations.
• Work with statistical models to deep neural networks on real engineering problems.
• Build machine learning pipelines for simulation, data fusion and predictive analytics.
• Use PyTorch, Scikit‑learn and Polars to draw insights from large datasets.
• Collaborate across departments to put models into car development, showing innovation and teamwork.

Skills

Python programming

AI/ML concepts

Model training & evaluation

Team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

Scikit-learn

TensorFlow

Git

Cloud platforms

Job description

Company Description

History doesn’t repeat itself. It’s rebuilt - one breakthrough at a time. Be part of the team redefining performance and writing the next winning chapter for Atlassian Williams F1 Team.

Atlassian Williams F1 Team– Shape our team's next chapter:

For nearly 50 years, Williams F1 Team has pushed the limits of speed and innovation. As one of the most successful teams in F1 history, with 16 World Championships and a legacy shaped by legends like Sir Frank Williams and Nigel Mansell, we’re now on a bold mission to reclaim our place at the front and win multiple championships again.

Our People Promise:

Join a high-performance team where ambition and our people promise guide everything we do. In a fast-paced, challenging environment, your work directly shapes our winning formula. Collaborate with the brightest minds in motorsport, building on our rich heritage and pushing the boundaries of speed and innovation. We want people who live our values - innovation, teamwork, resilience, excellence, and accountability to create the winning formula that drives Williams F1 Team back to the top.

Job Description

At Atlassian Williams F1 Team, our two-year Graduate Programme throws you into real motorsport from day one. Our rotational routes offer broad, cross-team exposure, or you can go deep as a subject-matter expert, specialising in one area. Expect live projects, a leadership speaker series, and wraparound support from our Early Careers team and your manager. Join a tight-knit cohort, build a network across the business, and fast-track your skills into impact. This could be your launchpad to become one of our future leaders.

At Atlassian Williams F1 Team, the Technology & Innovation Group (TIG) is modernising our tech to sharpen our Formula 1 advantage. Leveraging data, AI, and cutting-edge software, we speed up development and enhance performance. In a budget-capped sport, smart technology is key to maximising efficiency and every fraction of performance.

As a graduate in this role, you help build the intelligent systems that drive performance on and off the track. You apply machine learning, data science, statistics and simulation to real motorsport problems, from vehicle dynamics to race strategy. It is hands‑on work where your models feed directly into how the car is developed and run.

• Help design and train AI models for vehicle performance, aerodynamics, race strategy and operations
• Work with everything from statistical models to deep neural networks on real engineering problems
• Build machine learning pipelines for simulation, data fusion and predictive analytics
• Use frameworks such as PyTorch, Scikit‑learn and Polars to draw insight from large datasets
• Work across departments to put models into car development, showing innovation and teamwork

Qualifications

• A degree in Computer Science, Maths, Physics, Engineering, Statistics or similar
• Proficiency in Python and ML frameworks (e.g., PyTorch, Scikit‑learn, TensorFlow).
• Some exposure to applying AI techniques and models to improve performance
• Familiarity with cloud platforms and version control systems (e.g., Git).
• Knowledge of motorsport or automotive engineering is advantageous but not essential.

Additional Information

Life at Williams

Based at our Grove campus in Oxfordshire, enjoy competitive benefits, exclusive events, subsidised dining, special car schemes, and 24/7 gym access with fitness classes. Need a break? Relax in green spaces or explore nearby Oxford city centre, just 30 minutes away by bus.

Atlassian Williams F1 Team is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.