National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Engineer- Structures

Williams Racing
Grove
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Engineer Automation & Developer

Senior Data Engineer

Senior MLOps/GenAI Infrastructure Engineer

Software Manager

Machine Learning Engineer

Lead Data Engineer

An exciting opportunity exists for aSenior Structures Engineerto join our expanding Structural Engineering team and make a key contribution to the design and development of our F1 car.

The successful candidate will be responsible for ensuring our structures meet their strength and stiffness targets balancing performance with safety and reliability. This challenging but rewarding role will suit an adaptable experienced engineer with excellent attention to detail and a willingness to demonstrate initiative work independently under pressure to meet tight deadlines.

As aSenior Structures Engineeryou will:

  • Perform structural analysis of metallic and composite F1 car components using both Finite Element Analysis and hand calculation methods.

  • Optimise existing designs and develop innovative new structural concepts identifying opportunities for mass reduction and the realisation of other car performance parameters.

  • Contribute to design reviews assessing structural viability of proposed new designs.

  • Define and observe structural proof tests carried out in the Prototype and Test department analysing results and using them to improve model correlation.

  • Write reports to summarise the analysis that has been used to demonstrate structures are fit for purpose.

  • Develop new analysis tools and improve efficiency of existing calculation methods to promote a culture of continuous development.

  • Be mentoring and training of other team members.

Our ideal Candidate is someone who has:

  • Abaqus and ANSA or Hyperworks experience.

  • Structural optimisation using Genesis or similar software.

  • A relevant degree or equivalent qualification supported by experience in motorsport aerospace or a related field.

  • In depth knowledge of calculation methods based on first principles.

  • Detailed knowledge of fatigue analysis methods.

  • Thorough understanding of structural behaviour of engineering materials.

  • Scripting and model automation skills would be beneficial as would experience of data analysis using MATLAB.

  • Can communicate effectively with other engineers both written and verbal and support the wider organisation Manufacturing Quality Prototype and Test Trackside etc.

  • Has a passion for engineering innovation and detailed analysis work.

  • Confidence and is 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.


Additional Information :

#LIEM1

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


Remote Work :

No


Employment Type :

Fulltime

National AI Awards 2025

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 Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.