Engineering services for aerospace, defence, and critical infrastructure
SII Group UK delivers specialized engineering and systems integration across defence, aerospace, and transportation sectors. The tech stack—CATIA, MATLAB, Simulink, IBM DOORS, SysML, Polarion—reflects deep domain expertise in model-based systems engineering and safety-critical embedded work. Active hiring is almost entirely engineering-focused (29 of 30 roles), weighted toward senior and manager levels, signaling growth in delivery capacity for complex programmes rather than headcount expansion.
SII Group UK is the UK arm of a global engineering services firm operating across aerospace, defence, transportation, energy, automotive, and financial services. Established in 2016, the company has grown to 51–200 employees in London. The parent organization operates nine regional offices in eighteen countries and serves large corporations on long-term programmes. SII UK's delivery model centers on embedded software, systems engineering, hardware design, and security hardening for defence and aerospace clients—work that demands deep domain knowledge, regulatory compliance, and safety certification expertise.
CATIA, SolidWorks, AutoCAD, MATLAB, Simulink, IBM DOORS, SysML, Polarion, Python, C++, Java, Docker, Kubernetes, Jenkins, SAP, and Oracle Primavera. Heavy emphasis on CAD, systems modeling, and embedded development tools.
Aerospace programmes (landing gear systems, aircraft), naval and maritime system integration, defence embedded software, penetration testing, network hardening, and safety analysis for complex systems. Also active in governance and continuous improvement across programmes.
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SII Group UK's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.