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

Apply Now

Senior Aerodynamics Engineer - CFD

Sunbury-on-Thames
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Mechanical Engineer

Senior Mechanical Engineer

NEW SENIOR AERODYNAMICS ENGINEER - CFD JOB AVAILABLE NEAR SUNBURY-ON-THAMES, SURREY

  • Hybrid Working – Flexible hours + 1 day WFH or extra annual leave

  • Cutting-edge Research and Product Development

  • Great company culture with a collaborative, multi-disciplinary team

  • Private healthcare, life assurance, and more

    THE COMPANY OVERVIEW
    We’re on the lookout for a bright and curious Senior Aerodynamics Engineer to join a pioneering technology business based near Sunbury-on-Thames, Surrey. With over two decades of expertise in ultrasonic wind sensing, this company has built a strong global reputation in wind energy, meteorology, marine and defence markets.

    Working with a highly talented team of engineers and scientists across the UK and Europe, they are constantly innovating — blending computational fluid dynamics, acoustics, and data science to push the boundaries of sensor performance. With recent company growth and investment, now is the perfect time to join the next phase of their R&D journey.

    THE JOB
    As a Senior Aerodynamics Engineer, you’ll play a key role in the research team, focusing on the development, optimisation, and validation of sensor performance through advanced CFD modelling and experimentation. This will include analysing aerodynamic, aeroacoustic, and thermal behaviours, creating multi-physics models, and supporting the development of digital twin technologies.

    You’ll also take ownership of research projects (or sub-projects), work collaboratively with cross-functional teams, and contribute to the company’s IP portfolio. Your work will directly impact the future direction of innovative wind sensing products.

    WHAT IS REQUIRED FROM YOU



An academic background in Aerodynamics or Aeronautics with a specialism in CFD

*

Significant post-doctoral or industry experience applying CFD modelling

*

Expertise in RANS, LES turbulence modelling, and aerothermal analysis

*

Experience validating CFD models with experimental data

*

Proven track record of publishing in peer-reviewed journals or international conferences

*

Proficient in Python (or similar) for data analysis

*

Strong communication skills and a creative, analytical mindset

*

Ability to work independently and lead on technical challenges

Desirable Skills

*

Specialisation in subsonic, transitional or separated flow

*

Experience with transition models and commercial CFD tools (e.g. ENGYS, COMSOL)

*

Exposure to Linux and high-performance computing environments

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.