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

Apply Now

Senior Aerodynamics Engineer

Sunbury-on-Thames
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Aero Performance Data Scientist

Senior Aero Performance Data Scientist

Scientist/Senior Scientist (DMD Division/CPPS Group), SIMTech

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

Senior Data Scientist

Senior Data Scientist

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.