Artificial Intelligence Engineer
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Silverstone Full-Time No home office possible
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At a Glance

  • 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.

Job Title: Artificial Intelligence Engineer

Start Date: Immediately vacant.

Salary: Competitive based on experience

Location: Silverstone

Hours: Full time

Reports to: Motorsports Director

Role Type: Contract or Permanent

The Revival of a Legend:

Lola Cars, one of the world’s iconic motorsport brands, and the most successful manufacturer of customer racing cars of all time. Since 1958, Lola has been building cars destined to win on the track;

Lola Cars a legendary name in motorsport has cultivated a brand synonymous with engineering excellence, iconic design, and racing success. After a period of dormancy, under new ownership, Lola has returned to the forefront of international motorsport, continuing its legacy of innovation and engineering excellence.

Lola is committed to pushing innovation in engineering and as part of this commitment, Lola intends to release the IP back into the ecosystems and develop products that have far reaching impacts beyond motorsports. Our mission is to redefine motorsport performance by integrating cutting-edge AI technologies into vehicle dynamics, race strategies, and driver safety systems.

The Opportunity:

We are seeking a passionate and skilled AI Engineer to join the small yet growing, dedicated and talented team at Lola.

This role focuses on leveraging artificial intelligence solutions to enhance vehicle performance, optimize race strategies, and advance driver safety in the high-speed world of motorsports. The ideal candidate will have a strong background in AI and machine learning, with a keen interest in applying these technologies to revolutionize racing.

Role Responsibilities:

  • Develop and implement AI models to analyse real-time and historical race data, 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 the latest advancements in AI and motorsport technologies, applying innovative solutions to maintain Lola\’s 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 wider application of AI across the business

Technical Skills required:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proven experience in developing and deploying AI models, preferably within high-performance or real-time environments.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of data analysis, statistical methods, and predictive modelling.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration abilities.

Preferred Skills (desirable but not essential):

  • Familiarity with race strategy optimization and vehicle dynamics.
  • Knowledge of reinforcement learning and its applications in decision-making processes.
  • Experience with data visualization tools and techniques.
  • Understanding of sensor data integration and real-time data processing.

Personal Skills required:

  • Fluent English both written and spoken
  • Self-motivated and proactive in the working environment
  • Ability to work both independently and integrate and work collaboratively at every level within the organisation.
  • An analytical mindset with the ability to interpret data and trends.
  • Complete tasks with minimal guidance and work under pressure to meet deadlines.
  • Well organised with the ability to clearly prioritise tasks and deliver to agreed deadlines, making sound decisions based on good judgement and seeking input as required.
  • Good communication within the team
  • Confidence and knowledge to raise issues and develop solutions.
  • Proud to play a part and contribute best of ability to the project
  • Excellent organisational skills working with relevant departments and key stakeholders to achieve successful designs, often working to tight deadlines.
  • Prepared to work as required to get the job finished within deadlines, not to work by the clock.
  • Comfortable of operating in a dynamic working environment.
  • Strong attention to and enjoys the detail.
  • Methodical and measured in approach.
  • Builds rapport with team members.
  • Initiative, to find ways to achieve/deliver what is required.

Qualifications & Experience required:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Experience in the automotive or motorsports industry preferred
  • A profound interest, understanding and experience of engineering/automotive/ motorsport industry preferred.
  • Minimum 3 years’ experience in developing and deploying AI models, preferably within high-performance or real-time environments preferred

Role:

  • Competitive reward package.
  • Opportunity to work with a legendary brand at the cutting edge of motorsport innovation.
  • Collaborative and dynamic work environment.
  • Professional development opportunities and support for continued learning.
  • Flexible working arrangements (remote, hybrid, or in-office).
  • Some International travel maybe required

How to Apply:

Please submit your CV, a cover letter detailing your experience and interest in the role, and any relevant project or portfolio links.

Please send details asap for review.

Join us at Lola Cars and contribute to shaping the future of motorsport through AI-driven innovation!

Artificial Intelligence Engineer employer: Lola Cars

Lola Cars is an exceptional employer, offering a unique opportunity to work at the forefront of motorsport innovation in Silverstone. With a commitment to professional development and a collaborative work culture, employees are encouraged to grow their skills while contributing to groundbreaking AI technologies that redefine racing performance. The dynamic environment fosters creativity and teamwork, making it an ideal place for passionate individuals eager to make a meaningful impact in the world of motorsports.
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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

Artificial Intelligence
Machine Learning
Python
R
Java
TensorFlow
PyTorch
Scikit-learn
Data Analysis
Predictive Modelling
Problem-Solving Skills
Attention to Detail
Communication Skills
Collaboration
Real-Time Data Processing

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.

Artificial Intelligence Engineer
Lola Cars
Location: Silverstone

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