Computer Vision Engineer

Computer Vision Engineer X 3 | £50,000 - £95,000We're working with a specialist technology company scaling a high-performance real-time AI platform on this exciting opportunity.Join a team that is redefining the boundaries of real-time machine learning deployment. We are looking for three hands-on engineers to own the end-to-end model deployment and optimization of advanced computer vision pipelines using PyTorch, TensorRT, and GStreamer in high-stakes production environments.The Role Lead the deployment and optimization of real-time computer vision models, focusing on object detection, tracking, and classification under strict latency constraints. Design and refine complex video processing pipelines using frameworks such as FFmpeg and GStreamer to handle multi-stream inputs. Optimize inference performance specifically for GPU and Edge AI platforms, leveraging ONNX and TensorRT toolchains for maximum efficiency. Collaborate closely with Systems Engineers to bridge the gap between pure ML research and high-performance production code. Balance critical trade-offs between model accuracy and inference speed to ensure seamless performance in resource-constrained environments.What You'll Need Expert-level Python skills specifically applied to ML inference workflows and production-grade code development. Deep hands-on experience with PyTorch and a solid grounding in computer vision fundamentals like detection, segmentation, and tracking. Proven track record of deploying ML models into live production environments, rather than just academic or research-only settings. Practical experience with video processing frameworks (GStreamer/FFmpeg) and optimizing for Linux-based development environments. Proficiency with optimization tools such as TensorRT or ONNX, and experience with containerized ML deployments (Docker/Kubernetes).What's On Offer Competitive salary range of £50,000 - £95,000 based on experience and technical proficiency. The chance to work at the forefront of Edge AI, solving complex debugging challenges on real-world, high-traffic systems. A pragmatic, engineering-first culture that values hands-on coding, clear documentation, and real-world results over corporate hierarchy.Apply via Haystack today!