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

Apply Now

Aerodynamics Software Engineer

TXM Recruit
Bicester
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Aero Performance Data Scientist

Senior Aero Performance Data Scientist

Job Title: Aerodynamics Software Engineer Industry: Formula 1 Contract: Permanent Location: Bicester Salary: £40,000 - £70,000 An exciting opportunity has come about to join the exciting world of motorsport in Formula 1. This client is looking to grow their team in the coming year and seeking Aerodynamic Software Engineers to support this. The purpose of the role is to work within a group of software engineers to develop new and existing applications and tools, to support the complete aerodynamic development process, including wind tunnel testing, CFD, correlation and design. If you are looking to join a global organisation in the world of motorsport then this opportunity could be for you! Main DutiesDevelop and create the latest generation of aerodynamic analysis tools.Work closely with aerodynamic engineers to improve the ease of understanding complex data.Apply experience and knowledge to help set future directions and trends in data analysis and data visualisation.Define the user interface in terms of presentation and interaction with the data from a wide range of engineering data sources.Produce high performance and well-designed data access tools and APIs to be used by other existing systems.Complete design, code, test, release, and maintenance of data analysis applications. Skills & Knowledge RequiredA degree in a relevant discipline (Computer Science or Mathematics) or similar. Has a minimum 2 years relevant experience in a similar role, ideally within the motorsport industry.Good knowledge of software architecture and patterns.Excellent programming skills, ideally with Python, MATLAB, C++, C#, and be able to write clean and testable code with an emphasis on maintainability.Knowledge with other technologies such as SQL servers.Experience with data organisation and repository creation using appropriate database and file architecture.Experience in the development and deployment of Al and Machine Learning based systems.Able to perform duties in a timely manner with minimal errors .Communicate effectively with key stakeholders/directors.Strong levels of IT skills including MS Office, Word, Excel and PowerPoint.Positively contribute to an open and inclusive culture. How to Apply- If you would like to apply for this position, then please do not hesitate to contact me on either (phone number removed) / email me on (url removed)

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.