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

Apply Now

Senior Aerodynamics Engineer

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

This exciting and forward-thinking company manufacture ultrasonic wind sensors using patented Resonance technology that is tougher and more withstanding than other products on the market. The sensors are being used in Wind Energy, Marine, Meteorology, Defence, Drones and Infrastructure. Wind Energy is the biggest market with sensors being applied for wind turbine control.

They employ 95 people that work symbiotically to create and design meaningful products. Their small, 4 person Multi-physics team gives a new candidate the opportunity to have a leading role within the realm of Aerodynamics, Aero-Acoustics and Transducers.
Benefits
Non-contributory pension plan, 9% company contribution
Life assurance scheme
Private health care plan
Optional hybrid working pattern of one day per week from home OR 3 additional days holiday per annum (role dependent)
24 days holiday per annum, increasing to 25 days after one year's service, plus all bank and public holidays
Flexi-time for days worked in the office
Recruitment referral bonus scheme
Travel schemes: Season ticket or Cycle-to-work
Subsidised gym membership
Sponsored professional study support
Job title
Senior Aerodynamics Engineer
What will this person be doing?
Conduct CFD analyses, modelling, and experiments.
Apply aerodynamics, thermal, and aeroacoustics in product optimisation.
Develop performance targets for aerodynamics, thermal, and aeroacoustics.
Validate concepts using experimental data and theoretical predictions.
Document research findings for internal and external use.
Support product development through modelling and design analysis.
Enhance multi-physics modelling with other research teams.
Integrate machine learning for multi-physics simulations and digital twins.
Contribute to expanding the company's intellectual property portfolio.
Manage and deliver Aerodynamics research projects.
Provide estimates and progress updates for research projects.
Offer expert guidance on aerodynamics to engineers and teams.
Ensure research quality through validation, review, and documentation.
Essential Skills
Significant Understanding of Aerodynamics
Expertise in Aero-Acoustics and Aerothermal Analysis
Knowledge of Transducers
Experienced with CFD Modelling & Geometrics
Python
Experience in RANS and LES Turbulence Modelling
Desirable Skills
PhD in Aerodynamics
Experience in the Aerospace Industry
Specialised in Subsonic Flow
Experience in Laminar-Turbulent Transition Models
Experience in Commercial Modelling Packages (ENGYS, COMSOL)
Applied Knowledge of Linux & Cluster For High-Perfomance Computing Tasks
Target salary
£46,000 - £65,000

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.