Airbus are hiring a 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.
 

What you will be doing:

Under the guidance of senior engineers and mentors, you will:

• Build AI-Driven Applications: Help design, develop, and integrate AI models into scalable software solutions;

• Explore Advanced AI Concepts: Get hands-on exposure to building Retrieval-Augmented Generation (RAG) pipelines and exploring Agentic AI workflows;

• Cloud & Infrastructure: Learn how to deploy and manage applications on Google Cloud Platform (GCP);

• Full-Stack Development: Contribute to both the front-end and back-end of data-intensive applications;

• Collaborate & Learn: Participate in team meetings, code reviews, and architecture brainstorming sessions to understand how enterprise software is built.

We look to tailor the work you will be involved in based on your previous experience, interests and development needs to maximise the value you can add to the business.

Requirements:

Our placements are open to Undergraduates only. Therefore it is mandatory for candidates to be an undergraduate for the whole duration of the placement. Please inform your graduation date on your application.

*Your application should include a CV along with a Cover Letter outlining your motivation and suitability for the role.*

Successful candidates will have studied the following degrees:

• Studying any relevant Degree in the following fields: Engineering, Mathematics, Physics, Computer Science, Data Science and Analytics;

• A Hunger to Learn: A strong willingness to absorb new information, ask questions, and tackle unfamiliar challenges;

• Drive to Contribute: A proactive mindset and a desire to build things that matter;

• Problem-Solving Mindset: You enjoy breaking down complex problems and finding logical solutions.

Desirable, but absolutely NOT mandatory skills:

• Exposure to or basic knowledge of Python;

• Familiarity with Full-Stack development concepts (HTML/CSS, JavaScript, basic databases);

• Note: If you don't have these yet, don't worry! We are here to teach you.

What We Offer You:

• Dedicated Mentorship: We are committed to teaching you the skills you need. You will work closely with experts who will guide you step-by-step.

• High-Demand Skill Acquisition: By the end of this internship, you will have practical experience with Python, Full-Stack Development, GCP, and cutting-edge GenAI/RAG frameworks.

• Impactful Work: Your code and contributions will support real Data Analytics and AI projects.

• A Safe Space to Fail and Grow: We value curiosity over perfection. This is an environment designed for you to experiment, learn from mistakes, and grow rapidly as a developer.

SECURITY CLEARANCE: You will be subject to a BPSS (Baseline Personnel Security Standard) check. You may also need to gain UK SC-level Security Clearance or Export Control, depending on the role.

Contact

Please let us know if you need us to make any adjustments to allow you to access and participate fully in the recruitment process. If you wish to discuss this further please contact us. Any information disclosed will be treated in the strictest confidence.

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This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.