At a Glance
- Tasks: Design and deploy AI/ML solutions for real-time data systems in a fast-paced environment.
- Company: Join a leading Formula One team focused on innovation and technology.
- Benefits: Enjoy private healthcare, free snacks, and 25 days annual leave plus bank holidays.
- Other info: Collaborative culture with opportunities for professional growth and training.
- Why this job: Make an impact in the exciting world of motorsport with cutting-edge technology.
- Qualifications: 5-10 years in data science or AI, with strong Python and ML framework skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
AI/ML/Data Science Engineer in Biggin Hill employer: Motorsport Media Ltd
Join a forward-thinking team at the heart of innovation in Formula One, where your expertise as an AI/ML/Data Science Engineer will be valued and nurtured. With a strong emphasis on employee growth, we offer extensive training opportunities, a collaborative work culture, and unique perks such as Grand Prix Paddock passes and a subsidised canteen. Located in Biggin Hill, you'll enjoy a vibrant environment that fosters creativity and cutting-edge technology while ensuring a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML/Data Science Engineer in Biggin Hill
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI/ML/Data Science space. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning models or data pipelines. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems, so be ready to showcase your thought process!
✨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. So, hit that apply button and let’s get the conversation started!
We think you need these skills to ace AI/ML/Data Science Engineer in Biggin Hill
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI/ML/Data Science Engineer role. Highlight relevant experience and skills that match the job description, especially in machine learning models and data systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our Innovation & Technology team. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any cool projects related to AI or data science, make sure to mention them! We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Motorsport Media Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI/ML frameworks and tools. Brush up on your Python skills, and be ready to discuss your experience with SQL and cloud platforms. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building and deploying production ML systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you’ve tackled ambiguous problems or worked with incomplete requirements. Highlight how you collaborated with stakeholders to shape these challenges into actionable solutions. This will demonstrate your ability to operate effectively in high-pressure environments.
✨Communicate Clearly and Confidently
Strong communication is key, especially when translating complex technical concepts to non-technical audiences. Practice explaining your past projects and findings in a way that’s easy to understand. This will help you build trust and rapport with the interviewers.
✨Stay Curious and Innovative
Show your intellectual curiosity by discussing recent trends in AI and data science. Be prepared to share how you keep up with emerging technologies and how you’ve applied innovative thinking in your previous roles. This will highlight your entrepreneurial mindset and commitment to continuous learning.