Senior Machine Vision Engineer
Aberdeen, United Kingdom
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Consilium Safety
At Micropack, we lead the way in visual flame detection. Our near-infrared detectors use machine vision to spot fires that conventional sensors miss - keeping high-risk sites in oil, gas, and chemical industries safe.
Now, we’re building what comes next. Smarter, faster, image-based detection. Backed by the Consilium Safety Group - a global leader in fire, flame, and gas safety - we’re scaling our technology without losing focus.
Join our growing team and help shape the next generation of embedded vision systems. Real performance. Real protection. No compromise.
Why Join Micropack?
- 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.
About the Role
We’re looking for a Senior Machine Vision Engineer to lead development of real-time image processing and embedded AI models for our visual flame detectors. You'll work at the intersection of computer vision, embedded systems, and regulatory compliance.
Key Responsibilities
- 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.
Required Skills & Experience
- 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.
Preferred Qualifications
- 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.
Application & Contact
We offer an exciting role where you can leverage your technical interests and expertise to make a real difference. Join our dedicated team and help shape the future of marine safety systems. Apply today!
Please include:
- The position you’re applying for
- Why you’re interested in the role and in Micropack
- Your availability or notice period
We look forward to connecting!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Vision Linux Machine Learning Pipelines
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