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.
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