Computer Vision Engineer - Near Cambridge
My Client is a specialist technology company scaling a real-time AI platform and is seeking a Computer Vision Engineers to own model deployment and optimisation in production environments.
Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers.
Essential Skills & Experience
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
Profile Sought
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
Interested? Please Click Apply Now!
Computer Vision Engineer - Near Cambridge