https://jobs.co.uk/job/embedded-machine-learning-engineer-ko2-embedded-recruitment-solutions-ltd--e794eab8-4fc9-41e3-bd91-3ae2a9ea34b3 RSS feed for Embedded Machine Learning Engineer at KO2 Embedded Recruitment Solutions Ltd. en-gb Wed, 05 Aug 2026 07:47:31 GMT https://jobs.co.uk/job/embedded-machine-learning-engineer-ko2-embedded-recruitment-solutions-ltd--e794eab8-4fc9-41e3-bd91-3ae2a9ea34b3 https://jobs.co.uk/job/embedded-machine-learning-engineer-ko2-embedded-recruitment-solutions-ltd--e794eab8-4fc9-41e3-bd91-3ae2a9ea34b3 Mon, 03 Aug 2026 23:00:00 GMT Location: City of Edinburgh | Salary: £60000 - £70000/annum | Type: Permanent | Embedded Machine Learning and Real-Time Sensor Classification Introduced by: KO2 Embedded Recruitment Solutions Client Location: Edinburgh Salary: -60,000 to -70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine learning models that run on embedded devices, processing sensor data in the field, making instant decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem on tabular business data. This is not model serving from a GPU cluster. This is embedded machine learning in its most demanding form: taking sophisticated sensor-based classification systems and making them run reliably on devices with megabytes of RAM, in real-world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate aut... Permanent