Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Performance Optimisation Engineer

Williams Racing
Grove
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Snowflake, Fivetran, dbt, PBI)

Data Engineer

Senior Machine Learning Engineer (Remote)

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

The company:

Williams’ core competencies are the design and development of racing cars to compete in the Formula One World Championship. As one of the worlds leading Formula One teams, the company has secured 16 FIA Formula One World Championship titles since its foundation in 1977 and is now moving into an exciting era under new ownership defined by relentless innovation and living sustainable performance in every dimension.


 


Role Purpose:  


 


You will be part of the Performance optimisation team that has the primary goal of answering the challenging vehicle performance questions through leveraging our simulation tools and thus advancing our understanding of overall car performance. 

Working closely with other teams including Vehicle Dynamics and the Design Office, the Performance Optimisation team will look at both current and future car programs using our prime simulation tools and driver in the loop simulator to steer the current and future car development.  

We strive to answer questions across the whole car, taking direction from the Chief Engineers to research all mechanical performance trades, aerodynamics, tyre performance, brake performance and suspension optimisation.   


As a senior engineer within the team, you will take responsibility for leading projects and coaching and mentoring more junior members of the team.  


You will thrive in an environment of clear, continuous communication and collaboration, able to successfully manage priorities and deliver results in a dynamic setting. You will seek opportunities through curiosity and demonstrate a growth mindset.   


  


Main Duties:  



  • Perform simulation and analysis activities related to all areas of car performance, aero characteristics, suspension optimisation, tyre optimisation and stiffness / weight trades. 




  • Conduct DIL Simulator vehicle dynamics & performance related studies. 




  • Take the lead on Performance Optimisation related projects  




  • Set the standards of how to optimise car performance, providing a high level of confidence in results and reporting  




  • Act as a role model and coach and mentor for the team, supporting the Head of Performance Optimisation with the delivery of set KPI’s and contributing to overall direction and strategy  




  • Assisting in race & test event support duties on an ad hoc basis (requiring weekend work as appropriate). 




  • Performing research into areas relevant to department operations. 




  • Maintaining positive relationships with all other factory departments. 




  • Stay abreast of industry trends and advancements, incorporating innovation solutions into practice.  



 


Qualifications and Experience Level:  



  • Proven track record of working in Vehicle Dynamics / Performance Optimisation in a Formula 1 environment.  




  • Relevant degree (or equivalent)  




  • Experience of coaching and mentoring more junior members of the team to support their development and growth  




  • Confident and well organised with the ability to clearly prioritise tasks and make sound decisions, based on good judgment, seeking input as required   




  • Great analytical skills with the ability to interpret data and trends  




  • Demonstrates a solution focussed approach and is proactive in resolving any challenge that they are faced with  




  • Inquisitive mind that can look at questions and problems from different directions and use our simulation tools to solve these performance questions.  




  • Foster a collaborative and innovative working environment, whilst working under pressure   




  • Experience with Matlab, Python, Modelica and Dymola useful 




  • Able to effectively communicate, convey and present complex technical information to diverse audiences 



  


This job description is not exhaustive, and the job holder will be required to carry out from time-to-time tasks in addition to the above that will be both reasonable and within their capabilities.  

What can Williams offer?

The Williams Group is based in multi acre complex located in Grove, Oxfordshire. The Williams Group offers a competitive holiday package, staff events/open days, a subsidised restaurant on site and various car schemes. We have an on-site gym (open 24 hours a day) as well as various fitness classes including outdoors bootcamps, pilates and yoga free for all staff and contractors to use. Aside from these benefits we can offer free onsite parking and large open green spaces to unwind during breaks. We are a based just 30 mins from Oxford City Centre by bus.

Williams is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.