Visa Cash App RB F1 Team - CFD Tools and Data Engineer

Red Bull
Milton Keynes
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Visa Sponsorship Available)

Senior Data Scientist

Infrastructure and MLOps Engineer

Senior Data Scientist

Data Scientist

Senior Machine Learning Engineer (Large Systems)

Company Description

Step into the thrilling world of Formula 1 with Visa Cash App RB F1 Team, in the endless search for performance and excellence, where every detail makes a difference. We are looking for future members of our team, thrilling for innovation and achievement, evolving in a competitive environment.

Sounds exciting, doesn't it? Don't miss your chance to make an impact!

We are currently looking for a motivated CFD Tools and Data Engineer to support the aerodynamic CFD development programme; collaborate with other members of CFD Methodology, IT, Aero Performance and Data Analysis Groups and to provide best-in-class CFD software tools to Aero Development Teams.

Job Description

CFD Tools and Data Engineer

Contribute to the team’s technical roadmap;

Identify bottlenecks and shortcomings of existing CFD methods and software tools;

Work with Aero Development to improve the performance, efficiency and usability of existing CFD tools;

Liaise with Aero Performance to improve CFD correlation to track and wind tunnel;

Keep up-to-date with CFD technologies and analysis methodologies;

Take ownership of software development and workflows from proof-of-concept to production;

Innovate to advance the team’s CFD simulation and data analysis capabilities.

What we offer

Working in a young, collaborative and international environment.

Tailored training.

Company Events / Briefings.

On site Gym.

Bonus scheme.

Annual salary review process.

Private health care cover.

Company contributed pension scheme.

Life assurance scheme.

Cycle to work scheme.

Qualifications

A university level qualification in Engineering, Mathematics, Statistics, Physics, Computer Science (MEng, MSc or PhD) or similar

Experience working in F1/automotive/aerospace industry (will be a plus)

Experience using CFD codes and Linux system

Good understanding of computational methods, algorithms and software design

Interest in process automation and optimisation

Experience with handling and analysing large datasets

A high technical ability and strong scripting/programming skills

Expertise in at least one general-purpose programming language, preferably Python

Good communication and collaborative attitude

Strong ability to quickly learn and adopt new technologies

Remarkable attitude in problem solving and attention to detail

Self-motivated and with a flexible approach to working hours

The determination and dynamism to meet tight deadlines

Good understanding of vehicle aerodynamics

Experience utilising machine learning and data science techniques

Good understanding of software engineering practices

Additional Information

Visa Cash App RB F1 Team is an equal opportunities employer, we will evaluate applications from all members of society irrespective of age, sex, sexual orientation, race, religion or belief.

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 Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.