Company
ALPINE RACING LIMITED
Job Description
We are looking for an AI Research Engineer to join the Alpine F1 Team’s Software and Data group. This role is focused on developing and deploying advanced AI and machine learning solutions that directly impact our on‑track and off‑track performance. You will work across departments to identify high‑value opportunities, prototype novel models, and deliver production‑ready systems that enhance our competitive edge.
This position is ideal for someone who thrives at the intersection of research and engineering, with a strong foundation in AI/ML and a passion for motorsport innovation. You will play a crucial role in developing cutting‑edge solutions to help the team achieve our goals in the Formula One World Championship.
Responsibilities
In this role, you will research, design, and implement AI/ML models to tackle complex engineering and performance challenges in Formula 1, translating cutting‑edge research into robust, scalable solutions using modern software engineering practices. You will build and maintain scalable training pipelines, deploy models with Python and MLOps tools, and collaborate closely with cross‑functional teams—including Simulation, Vehicle Performance, and Software Engineering—to deliver impactful solutions. Your work will involve data exploration, feature engineering, and model evaluation following best practices, while staying up to date with emerging AI/ML technologies and assessing their relevance to our domain. Additionally, you will contribute to internal tooling, documentation, and knowledge sharing, and foster a culture of experimentation, learning, and innovation within the team.
Qualifications
If you have a Bachelor’s or Master’s degree in Artificial Intelligence or a related field, more than 2 years of experience in applied AI/ML research or development, and strong Python programming skills, we’d love to hear from you! We’re looking for individuals who are proficient in AI/ML frameworks, experienced in model development and deployment and MLOps tools, and have excellent communication and problem‑solving abilities.
- AI/ML frameworks (PyTorch, TensorFlow)
- Python data science libraries (NumPy, Pandas)
- Pipelines and deployment tools (Docker, Kubernetes, Azure DevOps, GitHub Actions)
- Understanding of the full ML lifecycle: data preparation, training, evaluation, deployment and maintenance
Additional skills that are a plus:
- Knowledge of LLMs, LangChain/LangGraph, or AI agents
- A track record of research publications (e.g., a PhD)
We’re looking for team players with a positive can-do attitude, strong troubleshooting skills, and a passion for innovation and knowledge sharing. Applicants MUST have permanent right to work in the United Kingdom.
Benefits
Compensation includes a bonus scheme, private health care cover, company‑contributed pension scheme, on‑site gym, subsidised canteen, and a car scheme.
Job Family
Information Technologies & Systems
EEO and Accessibility
Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing the application form.
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