Senior AI and Modelling Engineer - Strategy

The Senior AI and Modelling Engineer – Strategy works at the intersection of AI/ML and race strategy, partnering closely with strategists and engineers to identify opportunities where data-driven approaches spanning machine learning, statistical modelling, optimisation, and signal processing can improve performance outcomes. The role takes these opportunities from concept through to working solutions in a fast-paced, high-pressure environment.

WHAT YOU'LL DO

• Partner with the Strategy team to identify, scope, and prioritise problems where AI/ML can improve strategic decision-making and race performance.
• Build and maintain models for key strategic inputs: pace estimation, tyre behaviour, overtaking mechanisms, and more.
• Design and develop machine learning models, optimisation algorithms, and data pipelines tailored to strategy applications.
• Develop surrogate models and data fusion approaches that enhance the speed and fidelity of strategic analysis.
• Build reliable, well-documented tooling that the wider Strategy team can operate independently for real-time and offline use.
• Support the evaluation of existing and emerging strategy optimisation methods, identifying where AI/ML may offer practical improvements.
• Stay current with relevant AI/ML developments and evaluate their applicability to strategy problems, sharing findings with the team.
• Communicate technical work clearly to strategists and race engineers, translating AI/ML outputs into accessible, actionable insight.
• Support the development of AI/ML capability within Performance Systems by sharing knowledge and good practice with colleagues.

 

ESSENTIAL SKILLS & EXPERIENCE

• Proven experience developing AI/ML models and optimisation algorithms, with the ability to apply these across different problem domains.
• Strong proficiency in Python and the modern ML ecosystem (e.g. PyTorch, scikit-learn, NumPy/SciPy).
• Ability to work with increasing independence — structuring problems, selecting appropriate methods, and driving end-to-end solution delivery.
• Excellent communication skills, with the ability to translate complex AI/ML concepts into clear, actionable language for non-technical stakeholders.
• Comfort working in a fast-paced, high-pressure environment where priorities can shift rapidly.
• Experience with signal processing, computer vision, or time-series analysis.
• Degree in a relevant Engineering, Science, or Mathematics discipline, or equivalent practical experience. A Master's or PhD is advantageous but not essential.

DESIRABLE SKILLS & EXPERIENCE

• Experience building high-performance Python packages backed by Rust, C, or C++.
• Experience in physics-based or engineering modelling, with a proven record of calibrating models against real-world data.
• Familiarity with real-time or latency-sensitive ML deployment.
• Experience in motorsport in a discipline that brings you close to the track.
• Experience building data pipelines or contributing to data platform infrastructure.

We fuel our team with a competitive benefits package, including generous holidays, vibrant staff events, a subsidised onsite restaurant, and a range of car schemes. Stay energised with 24/7 access to our gym and free fitness classes like outdoor boot camps, Pilates, and Yoga. With free parking and sprawling green spaces, you’ve got the perfect space to recharge and refocus.
 

Join a fast-paced, future-thinking team that’s driving innovation and pushing past engineering boundaries.

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