Embedded Machine Learning Engineer

Embedded Machine Learning and Real-Time Sensor ClassificationIntroduced by: KO2 Embedded Recruitment SolutionsClient Location: EdinburghSalary: 60,000 to 70,000 per annumThe OpportunityOur 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 autonomously, make decisions in real time, and remain reliable under the constraints that define actual field deployment.The ChallengeThe engineering challenge is significant. You will be responsible for the complete lifecycle of machine learning models that run on embedded devices. This means:From Sensor to Deployed Device. ..... full job details .....