Landing Gear Engineering AI & Data Analytics Placement (12.5 months)

Job Description:

Start date: 16 August 2027

Location: Filton, Bristol

Duration : 12.5 months

Applications close on 27 September 2026 !

We love your interest in joining Airbus! There is no limit on the number of positions you can apply for, however, please be aware that you can only progress in the selection process for one position at a time . We recommend reviewing all available opportunities and applying to those that best match your experience and aspirations.

AI Guidance: We know you might be thinking about using AI to help you in your application - before you do, please read our guidelines on the use of AI for recruitment at Airbus https://www.airbus.com/en/careers/faqs#using-ai-in-your-application .

Benefits:

Salary: £24,246

35 hours per week // Flexible working hours // Hybrid working options available depending on the role // Half day Fridays! // 25 days holiday plus bank holidays

About us:

Are you looking for the ideal start to your career with an exciting, global company? Are you passionate about engineering and love understanding how things work? Are you interested in developing solutions for the future environmentally sustainable aircraft? If so, joining Landing Gear within the Airbus Internship Programme could be the ideal start to your career.

Landing Gear Engineering is part of the wider Systems Centre of Competence (CoC), providing Airbus Commercial with excellence in Landing Gear definition, integration, industrialisation and in-service support.
A complex area of aerospace engineering, Landing Gear engineering comprises control systems, mechanical systems & structures, integrated into the overall aircraft design for the key functions of take off, landing and taxiing. In this role, you will be actively contributing to real-world AI and Data Analytics use cases. We know that the technology landscape is moving fast, which is why this role is heavily focused on mentorship. You will get hands-on experience with the most highly demanded skills in the industry today, including Cloud computing, Full-Stack development, and advanced AI architectures.