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