Artificial Intelligence Engineer

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

Lola Cars, one of the world’s iconic motor sport 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 motor sport 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 motor sport, 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 motor sport performance by integrating cutting‑edge AI technologies into vehicle dynamics, race strategies, and driver safety systems.

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.

• 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 motor sport 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

• 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., Tensor Flow, 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.

• 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.

• 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…