Senior Vehicle Performance Engineer

London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Machine Learning Engineer

Senior RF Data Scientist / Research Engineer

Senior Machine Learning Engineer

Formula 1 covers a huge range of disciplines across a wide array of industry sectors, drawing the very best from our teams of technicians, engineers and media rights specialists and encouraging the creativity of experts in the fields of digital and traditional media, marketing and communications.

We are recruiting for a Senior Vehicle Performance Engineer for our Motorsport division who would be based at our St James Market Office in London. Do you have what it takes to be part of the world’s greatest sport and entertainment spectacle?

Main Duties and Responsibilities:

  • Lead & contribute to project delivery within a small F1 vehicle performance research group through use of vehicle dynamics & power unit simulation and data science analysis. The goal is to progress vehicle performance & power unit research by developing & deploying simulation and analysis toolsets in the assessment of F1 – both on current & future changes.

  • Conduct simulation analysis using the simulation (including but not limited to lap simulation and DIL environments) & analysis tools available and develop new techniques in both simulation and analysis of results to further the understanding of the Motorsports Group into assessments of the current F1 and the future direction that the group is working towards.

  • Contribute to understanding and research into current and future technical and sporting regulation impacts to the core racing spectacle and F1 ecosystem.

  • Analyse, report, and present vehicle performance analysis results (and other group work results) for both internal and external review.

  • Liaison with internal and external groups that possess the tools, technology and data of interest and foster relationships with all appropriate stakeholders.

  • Maintain a positive relationship with the FIA and all F1 teams.

    About You:

  • Degree (or equivalent) in an Automotive or Simulation related Engineering Field with a high vehicle dynamics and/or powertrain content

  • Extensive experience in an appropriate vehicle dynamics / powertrain & motorsports environment

  • Ability to demonstrate practical applications and utilization of vehicle / PU performance theory and analysis of both theoretical & experimental results together with coding development of simulation and/or analytical software

  • Demonstration of delivery of significant projects / workstreams

  • Excellent knowledge and skills in vehicle dynamics, powertrains, physics, mathematics and general engineering theory

  • Ability to develop and use software code across multiple languages

  • Ability to analyse results and present concise data reports and visualisation with meaningful conclusions

  • Ability to plan and organise priorities to respect departmental deadlines

  • Good written and verbal communication skills

  • Smart and professional with good interpersonal skills

  • Ability to work in a team and unsupervised

  • Positive approach to change

  • Promotes a collaborative working environment

    Division:

    Technical

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.