AI Research Engineer

AI Research Engineer

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and deploy advanced AI solutions to enhance F1 performance.
  • Company: Join the innovative Alpine F1 Team and drive motorsport technology.
  • Benefits: Enjoy a bonus scheme, private healthcare, gym access, and more.
  • Other info: Collaborative environment with opportunities for growth and innovation.
  • Why this job: Be at the forefront of AI in motorsport and make a real impact.
  • Qualifications: Degree in AI or related field, strong Python skills, and AI/ML experience.

The predicted salary is between 50000 - 70000 £ per year.

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.

In more detail, here are the technologies and expertise we value:

  • 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. Applicants MUST have permanent right to work in the UK.

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.

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 we 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 this form.

AI Research Engineer employer: Motorsport Media Ltd

At Alpine Racing Limited, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the thrilling world of Formula 1. Our team members enjoy numerous benefits, including a competitive bonus scheme, private healthcare, and access to an on-site gym, all while working in a diverse environment that champions personal growth and knowledge sharing. Join us in Enstone, where your passion for AI and motorsport can drive real impact and contribute to our journey towards excellence on the track.

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Contact Details:

Motorsport Media Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Research Engineer

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those connected to Alpine F1 or similar teams. Attend events, webinars, and meetups to make connections that could lead to job opportunities.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those relevant to motorsport. This will give you an edge and demonstrate your passion for the field.

Tip Number 3

Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with Python, MLOps tools, and how you've tackled complex problems in the past.

Tip Number 4

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 Alpine F1 team.

We think you need these skills to ace AI Research Engineer

AI/ML Frameworks (e.g. PyTorch, TensorFlow)
Python Programming
Data Science Libraries (e.g. NumPy, Pandas)
MLOps Tools (e.g. Docker, Kubernetes, Azure DevOps, GitHub Actions)
Model Development and Deployment
Data Preparation
Feature Engineering

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Research Engineer role. Highlight your experience with AI/ML frameworks and Python programming, as well as any relevant projects that showcase your skills in data exploration and model deployment.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for motorsport and how your background aligns with the innovative work at Alpine F1. Don’t forget to mention your collaborative spirit and problem-solving abilities!

Showcase Your Projects:If you’ve worked on any interesting AI/ML projects, make sure to include them in your application. Whether it's research publications or personal projects, demonstrating your hands-on experience can really set you apart from other candidates.

Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Plus, we love seeing applicants who take the initiative!

How to prepare for a job interview at Motorsport Media Ltd

Know Your AI/ML Stuff

Make sure you brush up on your knowledge of AI and machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with model development, deployment, and the full ML lifecycle. This is crucial for showing that you can hit the ground running in this role.

Show Your Passion for Motorsport

Since this role is with the Alpine F1 Team, it’s important to convey your enthusiasm for motorsport. Share any relevant experiences or projects that highlight your passion for racing and how you see AI impacting performance on and off the track.

Prepare for Technical Questions

Expect to face technical questions that test your problem-solving skills and understanding of AI/ML concepts. Practice explaining complex ideas in simple terms, as communication is key when collaborating with cross-functional teams.

Demonstrate Team Spirit

This position values collaboration and knowledge sharing, so be prepared to discuss how you've worked effectively in teams before. Highlight any experiences where you contributed to a positive team culture or helped others learn, as this will resonate well with the interviewers.