Senior Machine Vision Engineer
Consilium Safety
- Aberdeen
- Permanent
- Full-time
- High impact work – your algorithms will go into life-saving certified products.
- Real innovation – vision, AI, and embedded systems in a compact, real-world package.
- Ownership – lead the technology stack for machine vision in flame detection.
- Hybrid/remote – based in Aberdeen, but remote working is possible for the right candidate.
- Supportive team – collaborate with experienced hardware and safety engineers.
- Develop and optimise real-time vision algorithms in embedded C/C++.
- Work with near-IR camera sensors to classify flame characteristics.
- Integrate fixed, certifiable AI models (no runtime learning).
- Ensure determinism and reproducibility under certification constraints.
- Evaluate and test model performance under varied lighting and scene conditions.
- Collaborate with software, hardware, and certification teams.
- Strong experience in embedded machine vision (C/C++, Linux, image pipelines).
- Hands-on with near-IR, CMOS, or similar imaging systems.
- Knowledge of AI/ML for vision — fixed CNNs, shape tracking, segmentation.
- Understanding of real-time and memory-constrained processing.
- Degree or MSc in Computer Vision, Embedded Systems, or related discipline.
- Experience with safety-critical product development.
- Familiarity with IEC 61508 or other certification-related standards.
- The position you’re applying for
- Why you’re interested in the role and in Micropack
- Your availability or notice period