Race Engineer - £60k to £80k - Motorsport

EVEREC

Leeds

7 months ago

Applications closed

Related Jobs

View all jobs

Data Engineer - Contingent

Data Engineering Manager

Data Engineer - Applications

Data Engineer II - Decision Analytics

Data Engineer (Remote)

Data Engineer - Engine by Starling

Race Engineer - £60k to £80k - Motorsport

My client is a competitive motorsport team at the forefront of an FIA global motorsport competition dedicated to delivering world-class performance on and off the track. Our success is built on innovation, collaboration, and a relentless pursuit of excellence. As we aim for the top, we are seeking a talented and passionateRace Engineerto join our team and play a vital role in achieving our performance goals.

As a Race Engineer, you will be the critical link between the driver and the technical team, responsible for optimizing vehicle performance during races and test sessions. Combining technical expertise with clear communication, you will manage car setup, data analysis, and race strategies to extract maximum performance and provide invaluable support to the driver.

Role: Race Engineer

Salary: £60k to £80k

Industry: Motorsport

Location: England

Key Responsibilities:

Act as the primary point of contact between the driver and the technical team during race weekends and testing.
Develop and execute race strategies, including tire management, fuel strategy, and in-race adjustments.
Collaborate with performance engineers to optimize vehicle setup based on data analysis and driver feedback.
Monitor and interpret real-time telemetry data during sessions, providing actionable feedback to the driver.
Conduct detailed post-session debriefs, identifying opportunities for improvement in car performance and driver execution.
Work closely with technical departments (aerodynamics, powertrain, vehicle dynamics) to implement performance enhancements.
Ensure compliance with all technical regulations and safety standards.
Prepare and contribute to pre-event simulations, briefings, and post-event analysis reports.

What We’re Looking For:

Proven experience in a motorsport engineering role, ideally as a race engineer or similar position.
Strong understanding of vehicle dynamics, aerodynamics, and powertrain systems.
Proficiency with data analysis and telemetry tools (e.g., MATLAB, ATLAS, Pi Toolbox).
Exceptional problem-solving skills and the ability to make quick, data-driven decisions under pressure.
Excellent communication skills, with the ability to provide clear and concise instructions to drivers and technical teams.
A proactive, detail-oriented mindset with a passion for motorsport and continuous improvement.
Flexibility to travel extensively and work irregular hours, including weekends.

If this is of interest please apply on LinkedIn or email

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Sep 11, 2025

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Sep 5, 2025

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Aug 31, 2025

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.