Edge ML Engineer: Real-Time Embedded Sensor Classification

KO2 Embedded Recruitment Solutions; City of Edinburgh; On-site; GBP 60,000 - 70,000; Full time

Job summary

KO2 Embedded Recruitment Solutions is working with an Edinburgh-based client to hire an experienced ML engineer focused on embedded machine learning and real-time sensor classification for edge devices.

You will own end-to-end model development, optimize for memory and power constraints, and deploy on hardware with strict limits, collaborating with firmware, hardware, and product teams in a field-ready system.

Qualifications

• 5+ years of applied experience in data science or ML engineering roles
• Strong, demonstrable experience with ML for classification tasks
• Proficiency in Python and libraries: scikit-learn, TensorFlow, pandas, NumPy
• Real-world experience with sensor data, time-series data, or IoT data streams
• Familiarity with embedded ML tools: TensorFlow Lite, Edge Impulse, ONNX Runtime or equivalent
• Hands-on mindset; comfortable with hardware and firmware constraints
• Clear communication; able to explain model behaviour to non-technical collaborators

Responsibilities

• Develop machine learning models optimised for embedded deployment on resource-constrained devices
• Work with TensorFlow Lite, Edge Impulse, or custom firmware deployment strategies
• Optimise model architecture, quantization, and inference speed to fit hardware constraints
• Collaborate with firmware engineers to integrate models into live devices
• Test model performance across lab, semi-field, and real-world settings; identify failure modes and iterate
• Document training pipelines, feature engineering methods, and deployment learnings
• Establish reproducible, scalable ML workflows for model development and versioning
• Support platform expansion by demonstrating cross-application transferability
• Develop model-driven features such as confidence scoring and anomaly detection

Skills

Python

TensorFlow

Machine learning

Time-series data

Sensor data

Edge deployment

Embedded systems

Communication

Tools

TensorFlow Lite

Edge Impulse

ONNX Runtime

C/C++

Job description

KO2 Embedded Recruitment Solutions is working with an Edinburgh-based client to hire an experienced ML engineer focused on embedded machine learning and real-time sensor classification for edge devices.

You will own end-to-end model development, optimize for memory and power constraints, and deploy on hardware with strict limits, collaborating with firmware, hardware, and product teams in a field-ready system.