Embedded Machine Vision Engineer - Remote
Salary: £70,000 - £80,000
Location: Fully Remote (UK-based)
KO2's client, an Edinburgh-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection in automotive environments. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify driving anomalies, hazards, and safety risks.
This is the first fully remote role KO2 has seen this year - a rare and exciting opportunity to join a company doing cutting-edge embedded vision and AI work, from anywhere in the UK.
The ideal candidate will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You'll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems.
Key responsibilities:
Develop and optimise real-time embedded vision algorithms in C/C++
Work with near-IR camera sensors to classify visual and behavioural characteristics
Integrate fixed AI/ML models (e.g. CNNs) into embedded systems
Ensure deterministic, certifiable software execution under memory and timing constraints
Evaluate model performance under varied environmental conditions (lighting, motion, etc.)
Collaborate closely with software, hardware, and certification engineers
Required Skills & Experience:
Strong embedded software development experience (C/C++, Linux, real-time systems)
Proven background in embedded machine vision or image pipelines
Hands-on with IR, CMOS, or similar camera/imaging systems
Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking)
Comfortable working in memory- and timing-constrained environments
Preferred Qualifications:
Degree or MSc in Computer Vision, Embedded Systems, or related field
Experience developing software for safety-critical systems
Familiarity with IEC 61508 or similar certification standards
This is a fantastic opportunity for an engineer passionate about embedded AI and real-time vision to work on impactful technology that directly contributes to driver and passenger safety. You'll be joining a small, expert team working at the forefront of embedded machine vision, with the freedom and flexibility of a fully remote role.
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