AI/ML/Data Science Engineer

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 train 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.