AI Engineer
Listed on 2026-01-13
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
About Formula E
Formula E, the world's fastest-growing sport, is redefining motor sport 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
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Partner with racing and technical teams to identify high‑impact opportunities for agentic automation and translate those into robust technical solutions. - High‑Standard Deployment
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Take accountability for the performance, safety, and documentation of all AI deployments, ensuring low‑latency access for models.
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
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Proficiency in developing AI agents using Vertex AI Agent Builder, Lang Chain, or similar orchestration tools. - Advanced Programming
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Strong Python skills focused on AI integration, API development, and data engineering for Large Language Models. - Data Architecture
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Experience building RAG architectures and managing modern data flows, including Vector Databases, SQL, Big Query, and Cloud Run/Functions. - LLM Fundamentals
: A solid understanding of LLM architectures, context window management, and grounding techniques to minimise hallucinations. - Engineering Best Practices
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Strong experience with Git, CI/CD, and version control for both code and model prompts. - A relevant Google Cloud certification would be highly beneficial.
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. Check out our benefits found here!
We’re a hybrid role requiring 3 days per week in our Hammersmith London office.
Application ProcessThink 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…
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