Role Overview
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.
Responsibilities
- Design, develop, and deploy machine learning models for predictive analytics, computer vision, natural language processing, and anomaly detection.
- Build scalable inference pipelines for real time and batch processing, and implement model monitoring, drift detection, and retraining workflows.
- Prototype and validate ideas rapidly to demonstrate value before scaling into production.
- Balance short term delivery with long term platform thinking, prioritising speed to value and learning.
- Operate with incomplete requirements, shape problems collaboratively with business stakeholders.
- Continuously research emerging data, AI, and systems technologies across adjacent and non adjacent industries.
- Translate external best practices into the unique constraints and opportunities of Formula One.
- Design and maintain robust data pipelines integrating telemetry, timing, video, image, event operations, and commercial data.
- Develop APIs and services to expose analytics capabilities to internal stakeholders; ensure high availability and low latency for race critical systems.
- Proactively identify high impact data and AI opportunities by engaging directly with teams across the business.
- Translate business and sporting requirements into technical solutions and present findings to 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.
- Implement responsible AI practices, support data privacy, governance, and regulatory compliance.
- Collaborate with cybersecurity teams to secure data pipelines and AI systems.
Qualifications
Personal Qualities
- Intellectually curious and bias toward innovation.
- Accountable with 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.
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: real time data environments, computer vision applied to video analytics, edge computing, cybersecurity best practices, large scale telemetry or IoT data, sensor fusion systems.
Knowledge & Skills
- Deliver impactful technical solutions where problem definition evolved through experimentation.
- Strong communication and cross functional teamwork.
- 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.
- 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.
Benefits
- Private Healthcare scheme.
- Dental care.
- 4 Grand Prix Paddock passes per season.
- Enhanced maternity/paternity leave and other family planning policies.
- Free staff shuttle service to/from surrounding trains stations near Biggin Hill.
- Free healthy snacks in offices.
- Subsidised canteen in Biggin Hill (breakfast and lunch).
- 25 days annual leave and 8 Bank Holiday days plus a Christmas period closure.
- Opportunities to develop and request training via 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.