Systems Engineer Broadoak(Portsmouth) or Cowes(Isle of White) Hybrid £45,000-£55,000+Bonus

My client a multinational defence organisation are looking for a Systems Engineer to join their Radar Systems Engineering team based in either Broadoak or Cowes.

What you'll be doing:

You will apply systems engineering principles aligned with ISO 15288 across the full lifecycle, from requirements definition and system design through integration, acceptance, support, and eventual disposal. It involves decomposing and managing requirements at system and subsystem levels using tools such as IBM DOORS Next, as well as developing and maintaining architectural models in model-based systems engineering environments like CATIA Magic. The work also includes defining interfaces, supporting design decomposition, and contributing to acceptance strategies that ensure requirements are verified throughout each stage of the V-model, ultimately producing robust evidence for customer acceptance.

In addition, the role supports technical reviews and ensures compliance with business, regulatory, and customer standards. It requires analysing real-world system performance data to assess reliability and usage, applying analytical techniques to inform software and algorithm improvements. Responsibilities also include producing high-quality, maintainable code (e.g. in MATLAB) for simulation and automation, and working with large, complex datasets using statistical analysis and visualisation tools to identify trends, resolve issues, and guide system design and operational decisions.

Core duties:

You will be Degree qualified or equivalent, in a technology, engineering or science related discipline
You will understand engineering life cycle principles across the full development V, underpinning design and development activities and be capable of systems thinking, applying holistic approaches to complex problems
You will demonstrate understanding, knowledge and experience of model-based Systems Engineering
You will be actively performing data analysis in current role on large, complex datasets using statistical methods, scripting languages (e.g. MATLAB or Python or C++), and data visualization tools to extract insights and support system-level decision-making
Ideally you will have some experience writing well‑structured and maintainable code, applying good software engineering practices such as modular design, clear documentation, version control, and testing is desirable
You will have hands-on experience with complex, real-world systems to collect, validate, and interpret operational data is desirable

To apply for this role please send your CV to Peter Bibby on the email address below...

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