Alpine
AI Engineering Student Placement

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Company
ALPINE RACING LIMITED
Job Description
Duration: 1 year
Start Date: July 2027
Location: Enstone
About Us
We are a high-performance Formula One Team driven by innovation, precision, and passion. Our IT department plays a critical role in enabling the technology and data-driven solutions that support every aspect of our business and racing operations. As artificial intelligence continues to transform how we work, our AI Engineering team develops innovative solutions that improve efficiency, enhance decision-making, and unlock new opportunities across the organisation.
As an AI Engineering Student Placement, you'll gain hands-on experience working with cutting-edge AI technologies in a fast-paced, high-performance environment. You will be part of a collaborative team of AI Engineers, Software Engineers, and Platform Engineers, working together to improve all areas of the team—from car design and manufacturing to performance analysis at the track. You will support and evolve existing tools, as well as create new solutions that will help to drive on-track performance.
The Role
During your Placement, you will collaborate with engineers across the team to support the development, testing, deployment, and continuous improvement of AI-powered solutions. Working alongside experienced engineers and technology specialists, you'll help explore opportunities to leverage machine learning, generative AI, automation, and data-driven technologies to solve real-world challenges.
You'll gain exposure to the full lifecycle of AI solution development, from requirements gathering and data preparation through to model evaluation, deployment, and user adoption.
Key Responsibilities
- Support the development, testing, and deployment of AI-powered applications and solutions
- Assist with data collection, preparation, and analysis to support machine learning and AI initiatives
- Collaborate with engineers across the team to identify opportunities for AI-driven automation and process improvement
- Support the integration of AI solutions with existing systems, applications, and business processes
- Assist in evaluating and testing AI models, tools, and technologies
- Document technical solutions and present findings to both technical and non-technical stakeholders
- Contribute to proof-of-concept projects exploring emerging AI technologies and capabilities
- Actively participate in the continuous improvement and adoption of AI solutions across the team
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who We’re Looking For
- Currently studying BSc or MSc in Data Science, AI, Computer Science, Mathematics, Engineering, or a related field.
- Experience with Python and its data science ecosystem (e.g., pandas, numpy, scikit-learn).
- Familiarity with machine learning concepts and techniques (e.g., regression, classification, neural networks).
- Proactive, detail-oriented, and eager to learn in a fast-paced, high-performance environment.
- Strong analytical and problem-solving skills, with the ability to communicate effectively and work collaboratively.
- You must have the right to work in the UK, as we cannot provide sponsorship for this role.
- You must be available to attend onsite interviews.
Preferred Skills (not required but advantageous):
- Experience with other programming languages such as C# or MATLAB.
- Exposure to cloud platforms and deployment tools (e.g., Azure, Docker, GitHub Actions).
- Understanding of data pipelines and software engineering principles.
What We Offer in Return
At Alpine Formula One Team, you won’t just contribute; you’ll make a direct impact on race car performance at the pinnacle of motorsport. Working alongside some of the most talented individuals in the industry, you’ll help shape innovation on a global stage.
Our purpose-built facilities in Enstone provide the perfect environment to thrive. We offer a competitive salary, private medical healthcare, full access to our free on-site gym, a fully catered restaurant with a daily allowance, and a wide range of additional benefits designed to support your wellbeing and growth.


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Beyond the perks, you’ll be part of a team that’s pushing boundaries in Formula One. The thrill of pioneering cutting-edge technology, combined with a collaborative and inclusive culture, creates unmatched opportunities for career development and personal achievement.
Take the next step in your career and play your part in shaping the future of Formula One.
Diversity and Inclusion
At Alpine Formula One Team, we celebrate diversity and strive to create an inclusive environment where everyone can be their true selves. We welcome individuals from all backgrounds, ethnicities, cultures, and experiences. We are committed to leading by example in promoting diversity, inclusion, and belonging in our society.
Job Family
Alpine Racing UK
Renault Group Commitment
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.
Application Process
In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.
By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Alpine Racing Ltd Privacy Policy.
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