At a Glance
- Tasks: Develop and deploy AI solutions in a fast-paced, high-performance environment.
- Company: Join a leading Formula One team known for innovation and collaboration.
- Benefits: Competitive salary, private healthcare, gym access, and a fully catered restaurant.
- Other info: Diverse and inclusive culture with excellent career development opportunities.
- Why this job: Gain hands-on experience with cutting-edge AI technologies and make a real impact.
- Qualifications: Studying Data Science, AI, or related fields; Python experience preferred.
The predicted salary is between 19350 - 23650 £ per year.
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 will 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 will help explore opportunities to leverage machine learning, generative AI, automation, and data-driven technologies to solve real world challenges. You will 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
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
- Competitive salary
- Private medical healthcare
- Full access to our free on-site gym
- A fully catered restaurant with a daily allowance
- A wide range of additional benefits designed to support your wellbeing and growth
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.
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.
AI Engineering Student Placement employer: Renault Group
Renault Retail Group is an exceptional employer, offering a vibrant work culture that prioritises customer service and employee development. Located in Brentford, our dealership provides a supportive environment with flexible working patterns, competitive benefits including staff discounts and a comprehensive pension scheme, and ample opportunities for career growth through excellent training programmes. Join us to be part of a team that values professionalism and a warm welcome for every customer.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Student Placement
✨Get Involved with Open Source Projects
Diving into open source is a fantastic way to showcase your skills and build a solid portfolio that speaks volumes. Contributing to projects on platforms like GitHub not only helps you learn, but it puts your work in front of potential employers, including places like Renault Group!
✨Attend Hackathons and Tech Meetups
Jumping into hackathons or local tech meetups can give you great exposure to the industry. Not only do you get to network with like-minded individuals, but you might even catch the attention of recruiters from companies like Renault Group while collaborating on exciting projects.
✨Leverage University Career Services
Don’t underestimate the power of your university's career services! They often have connections with companies looking for placement candidates like us. They can guide you on preparing for interviews and even help set up networking events.
✨Show Off Your Projects on Your Personal Website
Create a portfolio website to showcase your coding projects and development skills. This is a brilliant way to give a peek into your personality and capabilities while letting potential employers like Renault Group see your work up close. Plus, it shows you're proactive!
We think you need these skills to ace AI Engineering Student Placement
Some tips for your application 🫡
Show Off Your Projects:In software engineering, showcasing your portfolio is key! Include links to GitHub repositories or any relevant projects you've worked on. This will give us a clear idea of your coding skills and what you can bring to Renault Group.
Highlight Relevant Skills:Make sure to emphasise programming languages, frameworks, and tools you’re familiar with on your CV. For a placement, we love seeing candidates who are eager to learn and adapt, so don’t hesitate to include any relevant coursework or certifications you’ve completed.
Tailor Your Cover Letter:In your cover letter, focus on why you’re interested in a placement with Renault Group specifically. Tell us what you hope to learn and how we fit into your career goals—not just what you can do for us, but what you want to gain from the experience.
Be Ready to Talk Tech:Prepare for the possibility of a technical assessment or interview. Brush up on coding challenges and be ready to discuss your approach to problem-solving. Remember, we are looking for your thought process and ability to learn, not just the correct answer!
How to prepare for a job interview at Renault Group
✨Brush Up on Your Coding Skills
For a software engineering placement at Renault Group, be ready to tackle coding challenges. You might face questions on algorithms, data structures, or even a live coding session. Practising on platforms like LeetCode or HackerRank can really sharpen your skills and boost your confidence!
✨Showcase Your Projects
Have a couple of your projects on hand to discuss during the interview. Whether it's a personal project or something from your coursework, being able to explain your thought process, the technologies you used, and any challenges you faced can make a great impression. Be prepared to dive into the specifics and even share your GitHub link!
✨Understand the Tech Stack
Make sure you're familiar with the technologies and tools that Renault Group uses. If you see mentions of specific languages or frameworks in the job description, brush up on them. This shows your enthusiasm and preparedness for the role, making you a more attractive candidate!
✨Be Ready to Learn and Adapt
As this is a placement, the hiring team at Renault Group will be keen to hear about your motivation and potential to grow. Be open about what you want to learn from the role. Highlight experiences where you've adapted to new situations or picked up new skills quickly to showcase your enthusiasm for the opportunity.
