At a Glance
- Tasks: Design and deploy AI/ML solutions to revolutionise Formula 1 data systems.
- Company: Join the innovative team at Formula 1, a leader in sports technology.
- Benefits: Enjoy private healthcare, free snacks, and 25 days annual leave.
- Other info: Collaborate across teams and grow your career in a dynamic setting.
- Why this job: Make a real impact in a fast-paced, exciting environment with cutting-edge technology.
- Qualifications: Experience in AI, ML, and data science; strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
We are looking for an AI, ML, Data Science Engineer to join our Innovation & Technology team. Reporting into our Chief Engineering & Innovation Officer, this role will design, build, and deploy intelligent data systems and AI/ML solutions.
Main Duties and Responsibilities:
- 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.
What Are We Looking For?
Personal Qualities
- Intellectually curious 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
- Bachelor’s/Master’s/PhD in Computer Science, Data Science, Engineering, Mathematics, or related field (not essential but beneficial).
Experience
- 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.
- Desirable experience includes:
- 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
- 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 statistics and probability, model evaluation methodologies, 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.
Why join the force behind the sport?
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 train 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
Division: Technical
AI/ML/Data Science Engineer employer: Formula 1 Group
At Formula 1, we pride ourselves on being an exceptional employer that champions innovation and collaboration within a dynamic work environment. Our commitment to employee growth is evident through our in-house Learning and Development team, while our unique benefits, including Grand Prix paddock passes and a subsidised canteen, enhance the overall experience of working at our Biggin Hill location. Join us to make a meaningful impact in the world of motorsport and be part of a passionate team dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML/Data Science Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it’s GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews like it’s race day! Research the company, understand their tech stack, and be ready to discuss how your experience aligns with their needs. Practice common interview questions and think about how you can showcase your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at Formula 1!
We think you need these skills to ace AI/ML/Data Science Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI/ML/Data Science Engineer role. Highlight your relevant experience and skills that align with the job description, especially in machine learning and data engineering.
Showcase Your Projects:Include any personal or professional projects that demonstrate your expertise in AI and ML. Whether it's a GitHub repo or a case study, showing off your work can really make you stand out!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We want to see your skills, not get lost in complex terminology!
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure it gets into the right hands and shows us you’re serious about joining the team.
How to prepare for a job interview at Formula 1 Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and ML technologies relevant to the role. Brush up on your experience with machine learning frameworks, SQL, and cloud platforms. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous problems in the past. Highlight your ability to shape problems collaboratively with stakeholders and demonstrate your pragmatic approach to finding solutions that balance speed and quality.
✨Communicate Like a Pro
Strong communication skills are key! Practice explaining complex technical concepts in simple terms. Be prepared to present your findings to both technical and non-technical audiences, showcasing your ability to build trusted relationships across teams.
✨Stay Curious and Innovative
Demonstrate your intellectual curiosity by discussing recent trends in AI and data science. Share insights from your research on emerging technologies and how they could be applied to enhance Formula 1's operations. Show them you're not just a techie, but a forward-thinker!
