Senior Edge AI Engineer

Hybrid working, designing Edge AI and intelligent hardware systems for real-time applications.

I’m working with a deep tech company building next generation Edge AI and intelligent hardware platforms. They develop low power intelligent systems designed to run AI directly on hardware for real-time, high-performance applications across advanced electronics and embedded environments.

This is a high impact opportunity for an AI Engineer who wants to lead the deployment of AI systems for hardware platforms.

What they’re looking for:

• Strong experience in Machine Learning, Edge AI, or Embedded AI
• Python with PyTorch, TensorFlow, or JAX
• Experience building, training, deploying, or optimising AI models
• Understanding of low power, low latency, or constrained hardware environments
• Interest in embedded systems, intelligent hardware, or FPGA accelerated platforms
• Experience working with sensor data, time series data, anomaly detection, or real time systems
• Ability to move from research into deployment
• Collaborative approach working across software, firmware, and hardware teams
• FPGA, embedded systems, ONNX/TensorRT, or hardware acceleration exposure (nice to have)

Why consider it:

• Cutting edge Edge AI and hardware projects
• High autonomy and real technical ownership
• Strong package including bonus and private healthcare
• Opportunity to build technology with real world impact

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