Data Science Talent | Software Engineering Lead (Aerodynamics) - F1 Motorsport

Data Science Talent
Manchester
4 months ago
Applications closed

Related Jobs

View all jobs

Graduate AI & Machine Learning Engineer | London, UK

Data Scientist II

Data Scientist

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Software Engineering Lead (Aerodynamics) - F1 Motorsport


Location: South East England


-----


2.62 seconds.That's how long it takes to service an entire F1 racing car at a pit stop.


2 weeks.That's how quickly your contributions can make a visible impact on the track.


Join one of the world's leading Formula 1 teams, where every role plays a pivotal part in enhancing car performance and speed. Here, the collective effort truly outpaces the sum of its parts.


-----


The Role


As the Software Engineering Lead in this fast-paced Formula 1 team, you and your team will face the constant challenge of rapid turnaround times. The ever-evolving F1 racing technology demands quick adaptation and the ability to deliver high-quality software solutions under tight deadlines.


You’ll manage the Aerodynamics Software Group responsible for developing software tools and applications to streamline and enhance the entire aerodynamic development process, including planning, production, data capture, analysis, and presentation.


This role presents a unique opportunity to lead and grow a software engineering team while staying hands-on to develop innovative tools and solutions. Your work will directly influence both the department and the broader racing team, providing essential tools that will shape the team's success in the highly competitive world of F1.


Leadership & Technical Involvement: Manage a team of seven while remaining hands-on, dedicating over 50% of your time to coding, allowing you to maintain technical expertise alongside your leadership role.


Team Growth:The ASG team plays a crucial role in supporting wind tunnel operations and computational fluid dynamics (CFD) efforts. As the team grows, you will be responsible for recruiting new talent and expanding the department to meet future demands.


-----


Your Profile


  • Degree in Computer Science or a related field.


  • Extensive experience in full-stack software development, primarily using Microsoft technologies (C#, .NET Framework, SQL Server, ASP.NET, JavaScript/TypeScript).


  • Experience with other languages such as Python or cloud platforms like Azure is a plus.


  • Proven track record of managing and leading software development teams, particularly in fast-paced and high-pressure environments.


  • Strong understanding of modern software development methodologies, including source control, work item tracking, change management, automated testing, and release processes.


  • Experience or knowledge in Computational Fluid Dynamics or Wind Tunnel Testing is highly desirable, though training can be provided for the right candidate.


  • Experience in Motorsport or F1 is an advantage but not essential. Relevant experience in other engineering-heavy industries like Automotive, Aerospace, or Aviation is also valuable.


  • Ability to remain calm under pressure and troubleshoot problems quickly and logically.


  • Comfortable working within tight deadlines.


  • Strong problem-solving skills with keen attention to detail.


-----


Apply Now


Be part of a world-class team where your contributions can drive tangible results seen by millions worldwide. To explore this opportunity further and learn about the rewards on offer, click the 'Easy Apply' button.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.