AI/ML/Data Science Engineer

AI & Machine Learning Development

• Design, develop, and deploy machine learning models for:
• Predictive analytics (performance trends, operational forecasting)
• Computer vision (video analysis, racing systems, media enhancement)
• Natural language processing (fan insights, content intelligence, knowledge systems)
• Anomaly detection (trackside operational reliability, racing systems telemetry monitoring)
• Build scalable inference pipelines for real-time and batch processing.
• Implement model monitoring, drift detection, and retraining workflows.
• Rapidly prototype and validate ideas to demonstrate value before scaling solutions into production.
• Balance short term delivery with longer term platform thinking, prioritising speed to value and learning.
• Operate comfortably with incomplete requirements, shaping problems collaboratively with business stakeholders.
• Continuously research emerging data, AI, and systems technologies across adjacent and non adjacent industries (e.g., aerospace, defence, healthcare, manufacturing, finance).
• Translate external best practices and proven solutions into the unique constraints and opportunities of Formula One.

Data Engineering & Architecture

• Design and maintain robust data pipelines integrating:
• Telemetry and timing systems
• Video and image data
• Event operations data
• Commercial and digital engagement data
• Develop APIs and services to expose analytics capabilities to internal stakeholders.
• Ensure high availability and low latency for race-critical systems where required

Cross-Functional Collaboration

• Proactively identify high impact data and AI opportunities by engaging directly with teams across the business:
• Broadcast & Media
• Commercial & Marketing
• Cybersecurity and IT Infrastructure
• Motorsport Operations
• Trackside Operations
• Translate business and sporting requirements into technical solutions.
• Present findings to both technical and executive audiences.
• Build trusted relationships across technical and non technical teams to become a go to partner for data and AI enabled problem solving.

Governance, Compliance & Security

• Implement responsible AI practices.
• Support data privacy, governance, and regulatory compliance.
• Collaborate with cybersecurity teams to secure data pipelines and AI systems.

• Intellectually curios and bias toward innovation
• Accountable and have operational rigor
• Highly autonomous and self directed
• Comfortable operating in ambiguous and loosely defined problem spaces
• Pragmatic: knows when "good enough now" beats "perfect later"
• Entrepreneurial mindset with enterprise discipline

Qualifications

Not essential to be successful in the role but you may also have the following qualifications:

• Bachelor's/Master's/PhD in Computer Science, Data Science, Engineering, Mathematics, or related field.

Experience

Prior to the role it would be essential that you:

• 5-10 years of experience in data science, AI, or machine learning engineering.
• Experience with ML frameworks and building and deploying production ML systems.
• Experience with SQL and modern data warehouses
• Familiarity with cloud platforms
• Experience with containerization and orchestration

Some desirable experience that you may bring to the role:

• Experience working in Real-time data environments
• Experience with computer vision applied to video analytics.
• Familiarity with edge computing and low-latency systems.
• Exposure to cybersecurity best practices in data systems.
• Experience with large-scale telemetry or IoT data
• Experience with Sensor Fusion systems

Knowledge & Skills

Prior to the role it is essential that you demonstrate:

• Ability to deliver impactful technical solutions in environments where the problem definition evolved through experimentation and stakeholder engagement.
• Strong communication skills and ability to work in cross-functional teams
• Strong proficiency in Python.
• Knowledge of streaming data systems.
• Solid understanding of: (1) statistics and probability, (2) model evaluation methodologies, (3) data preprocessing and feature engineering
• Systems thinking and architectural discipline
• Ability to operate in high-pressure, event-driven environments
• Strong debugging and performance optimization skills
• Clear documentation and technical writing ability
• Strong interpersonal awareness and stakeholder management skills

Annual leave, Employee discount, Shuttle service provided, Store discount, Private medical insurance, Canteen, Enhanced maternity leave, Enhanced paternity leave, Joining F1 means becoming part of a team that values innovation, collaboration and personal growth. We offer a dynamic work environment where ideas are heard, and employee contributions truly make an impact. We seek to recruit, develop, and retain the most talented people to play their role in accelerating the future of the sport. As a member of the F1 team, you will be able to access our amazing benefits:

• Private Healthcare scheme
• Dental Care
• 4 x Grand Prix Paddock passes per season
• Enhanced maternity/paternity leave and other family planning policies
• A free staff shuttle service running to and from surrounding trains stations near to Biggin Hill
• Free healthy snacks in our offices
• Subsidised canteen in Biggin Hill, serving breakfast and lunch
• 25 days annual leave and 8 Bank Holiday days, plus a Christmas period closure
• Opportunities to develop and request training for your role via our in-house Learning and Development team
• Discount on F1 merchandise
• Discount at F1's experiences including F1 Arcade and F1 Drive
• Perkbox benefit portal and more

Are you ready to make your mark in the world of Formula 1? At Formula 1, we are passionate about delivering the world's greatest sports and entertainment spectacle leaving a positive legacy wherever we race. Innovation has always been at the heart of what we do ever since our first Grand Prix in 1950. Now, more than 75 years on, the sport remains a pioneer, developing technologies that have made a significant impact on society beyond the track. Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport.