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3,084

Automotive jobs in United Kingdom

Artificial Intelligence Engineer

Motorsport-Total.com GmbH

United Kingdom
On-site
GBP 50,000 - 70,000
30+ days ago
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Field Commercial Manager, UK & Ireland – Automotive Solutions

Msx International

West Midlands
Hybrid
GBP 60,000 - 80,000
30+ days ago

Automotive Product Performance Engineer (EMEA)

Msx International

Daventry
On-site
GBP 35,000 - 43,000
30+ days ago

Senior Associate - Strategy & Corporate Development (Mobility)

Jameel Motors

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

Peugeot Vehicle Technician: Diagnose, Repair & Road Test

Donnelly Group

Eglinton
On-site
GBP 40,000 - 60,000
30+ days ago
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Maintenance Controller — Optimize Vehicle Service & Repairs

Automobile Association

United Kingdom
On-site
GBP 30,000 - 40,000
30+ days ago

Apprenticeship Training Scheme 2026 - Commercial Vehicle Technician

Channel Commercials Plc

Maidstone
On-site
GBP 14,000 - 17,000
30+ days ago

Motorcycle Sales Executive...

SYM

Chester
On-site
GBP 29,000 - 35,000
30+ days ago
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Motorcycle Sales Executive...

MotoGB Ltd.

Chester
On-site
GBP 60,000 - 80,000
30+ days ago

Vehicle Technician

Out Autocentres Ltd

Wigan
On-site
GBP 30,000 - 33,000
30+ days ago

Digital Marketing Manager - 12 month FTC

Experian plc

City of London
On-site
GBP 50,000 - 70,000
30+ days ago

Vehicle/Service Technician

Foray Motor Group

Taunton
On-site
GBP 25,000 - 35,000
30+ days ago

Vehicle Technician / MOT Tester

Halfords Group

Scunthorpe
On-site
GBP 32,000 - 34,000
30+ days ago

Motorcycle Sales Executive...

Hanway Motor

Chester
On-site
GBP 25,000 - 35,000
30+ days ago

Quality Engineer (Progression to Lead)

Motorsport-Total.com GmbH

United Kingdom
Remote
GBP 35,000 - 50,000
30+ days ago

Motorcycle Sales Executive...

Royal Alloy

Chester
On-site
GBP 25,000 - 35,000
30+ days ago

Customer Contact Centre Executive

Snows Group

Southampton
On-site
GBP 33,000
30+ days ago

Business Development Manager - Volkswagen

Donnelly Group

Eglinton
On-site
GBP 60,000 - 80,000
30+ days ago

Oracle Fusion Cloud ERP Consultant - Finance & SCM (Hybrid)

SinclairJames

West Midlands
Hybrid
GBP 100,000 - 125,000
30+ days ago

Service Techinican/Lube Techinician

Bobbysautoservicectr

England
On-site
GBP 25,000 - 35,000
30+ days ago

Senior Analytics & Automation Analyst

Experian Health

Nottingham
On-site
GBP 40,000 - 60,000
30+ days ago

Vehicle Refurb Performance Mgr, Fleet Physical Supply Chain

Amazon.com, Inc.

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

Valetor / Driver

JCT600 Ltd

York and North Yorkshire
On-site
GBP 20,000 - 25,000
30+ days ago

CNC Programmer/setter/Operator

HR GO Driving

United Kingdom
On-site
GBP 80,000 - 100,000
30+ days ago

Audi Vehicle Technician

Listers Group

Worcester
On-site
GBP 30,000 - 37,000
30+ days ago

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Artificial Intelligence Engineer
Motorsport-Total.com GmbH
United Kingdom
On-site
GBP 50,000 - 70,000
Full time
30+ days ago

Job summary

A leading motorsport innovator is seeking an Artificial Intelligence Engineer to join their team in Silverstone. This role involves developing and implementing AI solutions to enhance vehicle performance and optimize race strategies. The ideal candidate will have a strong background in AI and machine learning, with a passion for revolutionizing the racing industry. A competitive salary and flexible working arrangements are offered.

Benefits

Competitive reward package
Professional development opportunities
Flexible working arrangements

Qualifications

  • Proven experience in developing and deploying AI models, preferably in high-performance environments.
  • Self-motivated and proactive in the working environment.
  • Experience in the automotive or motorsports industry preferred.

Responsibilities

  • Develop AI models to analyze race data for vehicle performance improvements.
  • Collaborate with engineering teams to integrate AI into vehicle design.
  • Utilize machine learning to optimize race outcomes and strategies.

Skills

Development and deployment of AI models
Proficiency in Python, R, or Java
Machine learning frameworks (e.g., TensorFlow, PyTorch)
Data analysis and predictive modelling
Fluent English communication
Problem-solving and attention to detail

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field
Job description
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, optimise 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 revolutionise 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.
  • Utilise machine learning algorithms to predict race outcomes, optimise 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 optimisation and vehicle dynamics.
  • Knowledge of reinforcement learning and its applications in decision‑making processes.
  • Experience with data visualisation 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!

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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