AI Research Engineer

Alpine; Enstone; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading motorsport team is seeking an AI Research Engineer to join their Software and Data group. This role involves developing advanced AI and machine learning solutions to enhance on-track and off-track performance, collaborating across departments to prototype models. Candidates should have a degree in AI or related field, relevant experience, and strong Python skills. Benefits include a bonus scheme, health care cover, a pension scheme, and more.

Benefits

Bonus scheme

Private health care cover

Company contributed pension scheme

On site gym

Subsidised canteen

Car scheme

Qualifications

• More than 2 years of experience in applied AI/ML research or development.
• Strong Python programming skills.
• Proficient in AI/ML frameworks and model development.

Responsibilities

• Research, design, and implement AI/ML models for engineering challenges.
• Build and maintain scalable training pipelines and deploy models.
• Collaborate with cross-functional teams to deliver impactful solutions.

Skills

AI/ML frameworks e.g. PyTorch, TensorFlow

Python data science libraries e.g. NumPy, Pandas

Pipelines and deployment tools e.g. Docker, Kubernetes

Understanding of the full ML lifecycle

Education

Bachelor’s or Master’s degree in Artificial Intelligence or related field

Tools

MLOps tools

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.

This is a unique opportunity to be part of Alpine F1, working alongside engineers who work tirelessly to improve all areas of the team, from the design and manufacture of the car to the performance analysis at track. The role covers both scientific and engineering aspects. The ideal candidate will have passion for data, knowledge sharing and collaboration.

The Role

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.

The Person

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 e.g. PyTorch, TensorFlow.
• Python data science libraries e.g. NumPy, Pandas.
• Pipelines and deployment tools e.g. 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.

Not only is this a fantastic role, but it is also a fantastic team to work with here in Enstone at a very interesting point in our journey. There are many other benefits too such as our bonus scheme, private health care cover, company contributed pension scheme, on site gym, subsidised canteen, and a car scheme.