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- Tasks: Develop AI models to enhance vehicle performance and race strategies.
- Company: Join Lola Cars, a legendary name in motorsport innovation.
- Benefits: Competitive salary, flexible working, and professional development opportunities.
- Why this job: Be part of a team redefining motorsport with cutting-edge AI technology.
- Qualifications: Degree in AI or related field; experience in developing AI models required.
- Other info: Dynamic environment with potential for international travel and career growth.
Artificial Intelligence Engineer – Lola Cars
Location: Silverstone, England, United Kingdom
Join the Lola Cars team as an Artificial Intelligence Engineer. This role focuses on leveraging AI to enhance vehicle performance, optimize race strategies, and advance driver safety in motorsports.
Role Responsibilities
- Develop and implement AI models for real‑time and historical race data analysis, improving vehicle performance and strategic decision‑making.
- Collaborate with engineering teams to integrate AI‑driven solutions into vehicle design and race operations.
- Utilize machine learning algorithms to predict race outcomes, optimize pit stop strategies, and enhance driver performance.
- Stay abreast of AI and motorsport technology advancements, applying innovative solutions to maintain competitive edge.
- Create and maintain comprehensive documentation for AI models, data pipelines, and system integrations.
- Conduct rigorous testing and validation of AI systems to ensure reliability and effectiveness in race conditions.
- Contribute to broader application of AI across the business.
Technical Skills Required
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- Proven experience developing and deploying AI models, preferably in high‑performance or real‑time environments.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn).
- Strong understanding of data analysis, statistical methods, and predictive modelling.
- Excellent problem‑solving skills, attention to detail, and effective communication.
Preferred Skills
- Familiarity with race strategy optimization and vehicle dynamics.
- Knowledge of reinforcement learning in decision‑making processes.
- Experience with data visualization tools and techniques.
- Understanding of sensor data integration and real‑time data processing.
Personal Skills
- Fluent English (written and spoken), self‑motivated and proactive, works independently and collaboratively.
- Analytical mindset, ability to interpret data and trends, meets deadlines under pressure.
- Well organized, prioritizes tasks, sound decision making.
- Good communication, confidence in raising issues, teamwork and rapport building.
- Initiative, detail oriented, methodical with measurable approach.
Qualifications & Experience
- Minimum 3 years experience in AI model development and deployment, preferably within high‑performance or real‑time contexts.
- Experience in automotive or motorsports industry preferred.
- Deep understanding and passion for automotive/motorsport engineering.
Role (Benefits & Conditions)
- Competitive reward package.
- Opportunity to work with a legendary brand in motorsport innovation.
- Collaborative and dynamic work environment.
- Professional development, learning support.
- Flexible working arrangements (remote, hybrid, in‑office).
- Some international travel may be required.
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Artificial Intelligence Engineer employer: Lola Cars
Contact Detail:
Lola Cars Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the motorsport and AI fields on LinkedIn. Join relevant groups, attend events, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to motorsports or real-time data analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you would apply AI in racing scenarios. Practice common interview questions and think about how your experience aligns with Lola's mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Lola team. Good luck!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Craft a Compelling CV: Your CV is your first impression, so make it count! Highlight your relevant experience in AI and machine learning, especially any projects that relate to motorsports or high-performance environments. Keep it clear and concise, focusing on what makes you the perfect fit for Lola Cars.
Personalise Your Cover Letter: Don’t just send a generic cover letter! Tailor it to reflect your passion for motorsports and how your skills can contribute to Lola's mission. Share specific examples of your work with AI technologies and how they can enhance vehicle performance and race strategies.
Showcase Relevant Projects: If you've got a portfolio or links to projects that demonstrate your AI expertise, include them! This is your chance to show us what you can do. Whether it's a personal project or something from your previous job, make sure it aligns with the role you're applying for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining the Lola team and contributing to our legacy of innovation!
How to prepare for a job interview at Lola Cars
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning. Be ready to discuss specific models you've developed or deployed, especially in high-performance environments. Lola Cars is looking for someone who can leverage these technologies, so be prepared to share how your skills can enhance vehicle performance and race strategies.
✨Show Your Passion for Motorsport
Lola Cars is all about innovation in motorsport, so let your enthusiasm shine through! Talk about your interest in racing and how AI can revolutionise the industry. If you have any personal projects or experiences related to motorsports, don’t hesitate to mention them—they’ll show that you’re genuinely invested in the field.
✨Collaborate Like a Pro
Since the role involves working closely with engineering teams, highlight your collaboration skills. Share examples of how you've successfully worked in teams to integrate AI solutions into projects. This will demonstrate that you can communicate effectively and contribute positively to the team dynamic at Lola.
✨Prepare for Technical Questions
Expect some technical questions during the interview, especially around programming languages like Python or Java, and machine learning frameworks. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithms and data analysis techniques will help you feel more confident when tackling these questions.
