AI Engineering Student Placement

About the role

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 t   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   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 m ust 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.    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 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. 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 .