Research Engineer
5 days ago
Part of the High Value Manufacturing Catapult, NCC is an independent, open-access technology centre focused on addressing some of the world’s most complex engineering challenges. Model-Based Enterprise (MBE) is a strategic approach to using digital models as the authoritative source of information throughout the product lifecycle — from concept and design to manufacturing, inspection, and sustainment. Instead of relying on traditional 2D drawings and disconnected documents, MBE enables integrated, data-rich 3D models to drive decisions, collaboration, and automation across engineering and business functions.
You'll join our Automation and Digital Systems team, working to deliver digital transformation projects and provide technical direction for the development of digital system architectures and software tools. You'll support the development of integrated data capture systems, including in-process verification solutions, to enable ‘Right First Time’, data-driven manufacture.
Evaluate digital design and manufacturing workflows, including CAD, CAM, PLM, and collaborative platforms, to support the delivery of model-based practices.
Support / lead the development of toolkits, frameworks, and training material to embed MBE across projects and teams.
The role will encompass a wide range of responsibilities, from collaborating with process experts to optimise complex manufacturing workflows, to supporting large-scale digital infrastructure deployments. You'll bridge the gap between traditional technical expertise and practical digital solution implementation skills to create the next generation of manufacturing workflows.
Substantial experience in systems integration - digital to digital.
A master’s degree in Mechanical, Manufacturing, or Digital Engineering (or equivalent experience).
Familiarity with digital design, manufacturing, and lifecycle management tools (e.g., CAD, CAM, PLM).
Working knowledge of Model-Based Enterprise (MBE), Model Based Definition, Digital Thread, or Digital Twin practices
Experience of working in a team to deliver software projects, collaborative version control etc.
Awareness of any of following fields would be of interest: manufacturing verification technologies (i.e. machine vision/metrology/NDT), continuous process improvement, PLC programming, robotics/automation, immersive programming with Unity, CI/CD, manufacturing environments.
Awareness programming languages: C#, Python, JavaScript.
See job description for fuller details and apply on the NCC careers website.
Closing date for application: 23:59 Sunday 14th December 2025
Hybrid and flexible working as standard, annual salary reviews, company paid private medical insurance, up to 12.5% employer pension contribution, great people, honorary staff status at the University of Bristol. With a genuine focus on wellbeing, EDI and learning and development this is a chance to build your career in a thriving R&D facility with a bright future.
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