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!