Senior Computer Vision Engineer

Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers.

• Strong Python experience for ML and inference workflows
• Hands-on experience with PyTorch
• Solid grounding in computer vision fundamentals (object detection, tracking, classification)
• Experience deploying models into production environments
• Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg)
• Experience optimising inference performance on GPU or edge platforms

Desirable Experience

• Edge AI or embedded GPU platforms
• Real-time or multi-stream video pipelines
• TensorRT, ONNX, or similar optimisation toolchains
• Linux-based development environments
• Containerised ML or inference deployments
• Experience balancing model accuracy vs. inference speed in constrained environments, * Senior engineer who remains hands-on with models and code
• Comfortable working outside of pure research environments
• Pragmatic problem-solver who understands production trade-offs
• Enjoys debugging complex, real-world systems
• Clear communicator who documents work effectively