> Markdown version of [/jobs/ext/2668265-graduate-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2668265-graduate-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Graduate AI Engineer - **Company:** Airbus S.A.S. - **Location:** Filton, UK - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Computer Aided Engineering (CAE), Scikit Learn, Physical Design - **Published:** September 2, 2026 - **Apply:** https://www.careerjet.co.uk/job/gba5ad87bed30aebc3f7c5c340be1527b9/eaa ## About the Role A degree level or equivalent within Computer Science, Material, Mechanical, or Aerospace Engineering. Recently graduated or first professional experience in the field of Artificial Intelligence, Machine Learning, Data Science, or Physical Engineering. Proficient oral and written communication skills in our business language (English). Collaborates well within a team, focused on driving future innovation. The ability to be self-aware and a wish to be in the driving seat of your development. A strong interest and proficiency with programming (e.g., Python, Scikit-Learn, TensorFlow) as well as an eagerness to learn about Agile software development and cloud technologies., 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. ## Description If you're ready to embark on this transformative journey and unlock your full potential, apply below. What you will be doing You will be on a development journey to guide your growth into the role of AGGP2027 - Graduate AI Engineer and can expect to be involved in the following: Supporting the unification of fragmented processes, methods, tools, and data across Airbus's Domains to help create a cohesive Digital Airframe team at the forefront of digitalization. Assisting in the integration of physical models with data-driven AI approaches, learning to utilize Machine Learning and Symbolic AI (e.g., Computer Vision, Surrogate Modeling, Hybrid Modeling). Learning to develop and implement custom full-stack software solutions using Python, AWS, or GCP in alignment with business requirements. Gaining a deep understanding of physical engineering principles (such as structures, systems, materials, or simulation) to effectively bridge data science with physical airframe engineering domains. Engaging in rotational placements, which may include time with traditional engineering disciplines (like structure design and Computer-Aided Engineering) or AI Governance teams to build a comprehensive, cross-functional skillset. Engaging in diverse rotational placements to build a cross-functional skillset, with potential assignments including the Wing Stress Design team , Research and Technology (RnT) & physical test environments setting to connect your digital AI work with physical design. Your development journey will include a minimum of one rotational placement to support your growth into position. At the end of the two year development programme you will have developed into the position of AGGP2027 - Graduate AI Engineer ## Related Videos - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Where to Find Entry-Level Software Engineering Jobs](https://www.wearedevelopers.com/magazine/397-where-to-find-entry-level-software-engineering-jobs) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)