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For Companies At a Glance
- Tasks: Develop AI applications and frameworks to enhance fan engagement and automate workflows.
- Company: Join Formula E, the world's fastest-growing sport focused on innovation and sustainability.
- Benefits: Hybrid work, competitive perks, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology in a thrilling motorsport environment.
- Qualifications: Experience with GCP, AI development, and strong programming skills in Python.
- Other info: Dynamic culture that values diverse perspectives and empowers every voice.
The predicted salary is between 36000 - 60000 £ per year.
About Formula E
Formula E, the world's fastest-growing sport, is redefining motorsport with a bold focus on innovation and sustainability. Hosting over 100 races in iconic cities globally and backed by top manufacturers like Porsche and Jaguar, we feature elite drivers and cutting-edge EV technology. As the world's first sport certified Net Zero Carbon from inception, Formula E combines thrilling entertainment with a mission to advance sustainable progress, inspiring a global fanbase with our high-performance brand new GEN3 EVO race car capable of 0-60mph in 1.82 seconds (0-100kph in 1.86s). Using the spectacle of sport, we are sending a powerful and meaningful message to help alter perceptions and speed-up the switch to electric mobility.
The Role
Sitting at the heart of our exciting Google Cloud partnership, you will own the end-to-end lifecycle of AI applications. This role isn’t just about building models; it’s about creating autonomous orchestration frameworks that automate complex workflows and revolutionise how we engage with fans and partners. From prompt engineering to full-scale deployment, you will put cutting-edge technology — like Gemini’s multimodal capabilities — into the hands of our racing and technical teams.
The key deliverables are:
- AI Agent Development: Design and deploy autonomous AI agents and orchestration frameworks to enhance fan engagement and automate internal workflows.
- GCP Infrastructure: Build and maintain scalable, high-performance data pipelines within the Google Cloud Platform (GCP) to provide real-time context for AI applications.
- Generative AI Implementation: Leverage the full Google suite, including Vertex AI and Agent Builder, to create production-ready RAG (Retrieval-Augmented Generation) systems and LLM-powered tools.
- Data Modelling for AI: Develop and optimise vector databases and data models tailored specifically for high-efficiency AI retrieval and LLM performance.
- Strategic Collaboration: Partner with racing and technical teams to identify high-impact opportunities for agentic automation and translate those into robust technical solutions.
- High-Standard Deployment: Take accountability for the performance, safety, and documentation of all AI deployments, ensuring low-latency access for models.
What We’re Looking For
You are a proactive, strategic problem solver who thrives in a high-velocity environment where AI technology evolves on a weekly basis. You are an innovator who can bridge the gap between technical AI development and non-technical stakeholders to deliver high-value results.
What You’ll Bring
- AI & GCP Expertise: Proven experience building AI applications on GCP, with essential deep experience in Vertex AI (Model Garden, Studio, and Search) and Gemini models.
- Agentic Frameworks: Proficiency in developing AI agents using Vertex AI Agent Builder, LangChain, or similar orchestration tools.
- Advanced Programming: Strong Python skills focused on AI integration, API development, and data engineering for Large Language Models.
- Data Architecture: Experience building RAG architectures and managing modern data flows, including Vector Databases, SQL, BigQuery, and Cloud Run/Functions.
- LLM Fundamentals: A solid understanding of LLM architectures, context window management, and grounding techniques to minimise hallucinations.
- Engineering Best Practices: Strong experience with Git, CI/CD, and version control for both code and model prompts. A relevant Google Cloud certification would be highly beneficial.
What’s in it for you?
At Formula E, we offer a range of benefits and perks to enable you to make an impact in your role and to support your wellbeing and professional growth.
We’re a hybrid role requiring 3 days per week in our Hammersmith London office.
Application Process
Think you’ve got what it takes to join our race to the future? The closing date for this role is 22nd January 2026, however if we receive a high volume of applications we may close it early.
At Formula E, we are building a culture where every voice matters, every perspective accelerates progress, and every individual is empowered to rise, contribute boldly, and shape a better world — together. We will provide equal opportunities regardless of an individual's protected characteristics. We believe in attracting and retaining diverse talent to strengthen our global vision with a variety of experiences, backgrounds and perspectives.
Our mission is clear. The message is simple. Whoever you are. However you live. Whatever you believe. Formula E. For the Future. For Everyone. We’ll see you at the starting line!
If you require further assistance in accessing the application or require a different format of the application, please contact recruitment@fiaformulae.com
If this role isn’t quite for you but you want to join Formula E, why not ‘Connect’ with us here to be the first to know of new opportunities!
AI Engineer in London employer: Formula E
Contact Detail:
Formula E Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Formula E or AI engineering. Use platforms like LinkedIn to connect and engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving GCP and Vertex AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI applications and GCP infrastructure. Be ready to discuss how you can enhance fan engagement and automate workflows. Practice common interview questions and have your own questions ready to show your interest!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Formula E team. Let’s get you on that starting line!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and its potential in motorsport shine through. We want to see how you can bring innovation to the table, so share any cool projects or experiences that highlight your skills!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to match the job description. Highlight your experience with GCP, Vertex AI, and any relevant programming skills. We love seeing candidates who take the time to align their background with what we're looking for!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and how they fit with our mission at Formula E.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Formula E
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI applications, especially those built on Google Cloud Platform. Be ready to discuss your experience with Vertex AI and how you've implemented generative AI in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your strategic problem-solving abilities. Think about times when you’ve bridged the gap between technical and non-technical stakeholders, and be ready to share how you delivered high-value results.
✨Get Familiar with Their Tech Stack
Understand the tools and technologies mentioned in the job description, like Python, RAG architectures, and vector databases. Being able to speak confidently about these will show you’re serious about the role and can hit the ground running.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects or future plans regarding AI and sustainability. This not only shows your interest but also gives you a chance to demonstrate your knowledge and enthusiasm for the role.
