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Start date: 02 October 2023

When you begin your career with us, we accelerate your networks, locally and internationally, and gain a unique perspective on the world of Airbus. You are part of a global community, so we bring you together once a year for a global graduate conference where you meet your peers, hear from our leaders and learn from the best.
Every year we look for university graduates from around the world to join Airbus. We need people with the aspiration, enthusiasm and the talent to help us move forward and to change the world and your development through our Airbus Global Graduate Experience. You are part of a 2 year programme where you develop your professional skills, but deliver our vision to pioneer sustainable aerospace for a safe and united world . We are hiring the graduates we need to fill the critical roles for our future. By the end of the programme, our aim is that you are ready to progress, having already demonstrated your value. You will have developed your skills in an area that is strategically important for Airbus, you will know about the Airbus business, the opportunities, challenges and needs, and you will have learned more about yourself, and what makes you great.
Above all you will have the opportunity to do your best work in an industry that is literally reshaping how we live in our world. If you are ready to join and be part of this journey please apply below.

What we look for
To be a successful applicant to the Airbus Global Graduate Programme, you will need to demonstrate;

• Educated to a degree level or equivalent within a relevant field of study

• Maximum of three years relevant work experience

• Strong verbal and written communication in our business language (English)

• A desire to work in a collaborative team environment, focused on driving future innovation

• The ability to be self aware and a wish to be in the driving seat of your development.
  

Are you passionate about software engineering, machine learning, and artificial intelligence (AI) and eager to join the cause of pioneering sustainable aerospace for a safe and united world?

We are the central Advanced Analytics and Artificial Intelligence (AA&AI) team in Airbus for commercial aircraft and we deliver business impact through AI products and services across the entire value chain all the way from selling, designing, procuring, manufacturing to servicing aircraft. As such, we are responsible for solving all aspects and challenges of the machine learning product lifecycle, including problem exploration, solution development and deployment into cloud native environments at scale.

As an integral part of our team you will work, learn and grow among an international and diverse group of top talent data scientists, software engineers, product managers and many more based across Europe and India. With truly vast amounts of data from all over the Airbus ecosystem at our disposal paired with an unparalleled product complexity, we are exposed to unique and exciting challenges, working at the forefront of AI in the aviation industry. This, along with training provided, enables you to be skilled and experienced enough to take the next step of your career, following the programme’s conclusion.

Key responsibilities for this role include but are not limited to:

• Work with domain experts, data scientists and AI specialists to accelerate ML/AI into production.

• Developing ML systems, considering all aspects of the ML product lifecycle including model training, deployment, monitoring, and validation

• Support architecture discussions on integration of AI/ML in existing IM applications

• Deploy and maintain both software and ML systems in multi-cloud and on-prem environments

• Help define software engineering and MLOps best practices to be adopted across the business

Core Qualifications:

• Bachelor's or Master’s degree (or equivalent) in a STEM subject

• Experience in one or more programming and/or scripting languages such as Python, Node.js, Java, etc.

• Familiarity with CI/CD and DevOps principles

• An understanding of software design & architecture

• An understanding of statistics and machine learning architectures (deep learning, convolutional networks, etc.)

• Strong problem solving, communication, and collaboration skills

Preferred qualifications and experience:

• An understanding or experience with RESTful APIs and microservices architecture

• Familiarity with agile development principles

• Familiarity with cloud environments such as AWS or GCP

• An understanding of MLOps and the machine learning product life cycle

• Familiarity developing software or infrastructure for scalable systems

• Prior experience with optimizing machine learning algorithms

• Experience designing, building, and operating machine learning solutions, leveraging specific machine learning architectures

At Airbus your personal development and continuous learning is dear to us and actively supported. With us you will find a sheer infinite, diverse and exciting amount of worldwide career opportunities in the space and aviation industry. So come on board! Your journey in Airbus is only limited by what you make of it.

This position requires occasional travel.

Please let us know if you need us to make any adjustments for the selection process – you can share this with the Recruitment Business Partner who gets in touch if you are invited to interview. Examples of this may include (but is not exclusive to) accessible facilities; auxiliary aids; room layout etc. Any information disclosed will be treated in the strictest confidence.

Please note that depending on the number of applicants the posting can be taken offline earlier. If you are interested we would advise you to apply as soon as possible.

Salary: £29,725.00

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.