Associate Research Engineer/Specialist - Digital Engineering & Simulation

Fantastic challenges. Amazing opportunities.

GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, we’re inspired by the opportunities to innovate and break boundaries. We’re proud to play a part in protecting the world’s democracies. And we’re committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the world’s aircraft and engine manufacturers and achieved sales of £3.35 bn.in 2023. There are no limits to where you can take your career.

Job Summary

Must possess good knowledge and understanding of research and product development
 Must possess excellent knowledge and understanding of the ML, automation and digitalisation domains to support new technology development initiatives
 Must possess good knowledge and understanding of Additive manufacturing process
 Must possess a high level of technical problem solving skills and innovative mind set to conceptualize ideas and develop them to feasible solutions with an interest to work in developing technologies
 Must be comfortable with reading the articles and implementing in production

Job Responsibilities

Job Qualifications

Bachelors in Engineering degree or higher, preferably mechanical, production, instrumentation, automobile, aerospace etc., with 2-5 years of relevant experience in ML, software development or related fields.
 Excellent understanding of machine learning models and ability to design and develop ML and deep learning systems according to requirements
 Good knowledge in machine vision, data driven tools and platforms
 Proficient in Python programming, familiar with Image processing and OpenCV.
 Good knowledge of mathematics, probability, statistics and algorithms
 Working knowledge in deep learning, cloud platforms and analytic tools
 Proficiency in programming languages like python, C++,C, C#, Java, .NET, VB and working knowledge in GIT
 Good knowledge in Additive manufacturing process (Laser Metal Deposition & Powder
 Bed Fusion)
 Knowledge of implementing business process into functional codes
 Ability to understand requirements and translate them to describe and present technical information within cross functional teams
 Ability to understand the software development process, requirements and drive them to technical solutions with a good knowledge of software standards and specifications
 Able to communicate well in both writing and orally
 Demonstrated commitment to learning about digital technologies through your own initiatives through courses, books, or side projects
 Experience working with scientific python libraries such as scikit-learn, scikit-image, numpy,
 pandas, Pytorch and Tensorflow.
 Be able to rapid prototype the latest algorithms to the current use case.

We’ll offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further.  And with some of the best training on offer in the industry, who knows how far you can go?

A Great Place to work needs a Great Way of Working

Everyone is welcome to apply to GKN.  We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles we’ve created a culture where everyone feels welcome to contribute.  It’s a culture that won us ‘The Best Workplace Culture Award’.  By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work.

We’re also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know.

We are the place where human dreams, plus human endeavour, shape the future of aerospace innovation and technology. ​
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