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