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2,219

Intelligence 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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Salesforce Senior Developer

Dubizzle Limited

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

Technical Account Manager - Research Data

Bloomberg

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

Director, Marketing, Naturium

e.l.f. Beauty, Inc.

City of London
On-site
GBP 80,000 - 100,000
30+ days ago

Site Reliability Engineer – NS London

Regional Services

City of London
On-site
GBP 45,000 - 65,000
30+ days ago
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Machine Learning Engineer (Recommendations)

Thehealthylivingstore

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

Senior AWS Data Engineer

LGBT Great

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

Cyber Intel Analyst

Cyber UK

Gloucester
On-site
GBP 60,000 - 80,000
30+ days ago
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Data Solutions Architect, EMEA

Methodfi

United Kingdom
Hybrid
GBP 60,000 - 90,000
30+ days ago

Associate Consultant London (Visa Sponsorship Available)

Techwaka

City of London
Hybrid
GBP 40,000 - 46,000
30+ days ago

Security Testing Consultant

Regional Services

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

Commercial Finance Manager

Dubizzle Limited

City of London
Hybrid
GBP 100,000 - 125,000
30+ days ago

Security Consultant

Regional Services

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

Senior Associate Consultant – London

Solici

London
Hybrid
GBP 40,000 - 60,000
30+ days ago

Business Development Manager - Business Intelligence Subscriptions London - Commercial

Mesh-AI Limited

London
Hybrid
GBP 50,000 - 70,000
30+ days ago

Senior Java Software Developer

Regional Services

United Kingdom
Hybrid
GBP 60,000 - 80,000
30+ days ago

Organized Crime Researcher at ActiveFence – London, England, GB

Victrays

London
On-site
GBP 35,000 - 50,000
30+ days ago

Solutions Engineer

Infinity Tracking Limited.

Manchester
On-site
GBP 60,000 - 70,000
30 days ago

Technology Domain Leader - Corporate & Enterprise Platform

Alter Domus Group

City of London
Hybrid
GBP 60,000 - 80,000
30 days ago

Senior BI Developer- London

FDM Group Ltd.

City of London
Hybrid
GBP 50,000 - 70,000
30 days ago

Sales Enablement Associate

Sensor Tower Inc.

City of London
Hybrid
GBP 40,000 - 60,000
30+ days ago

Engagement Manager - Competitive Strategy

Prescient Healthcare Group

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

Commercial Finance Business Partner

Charles Russell Speechlys LLP

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

Sourcing Delivery Specialist

Virgin Media Business Ireland

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

Account Manager

Future Health Intelligence Ltd

City of London
On-site
GBP 30,000 - 45,000
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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