Overview We are looking for a ML Engineer (Computer Vision) to build, train, and improve computer vision models for real-world systems. The role focuses on model engineering, experimentation, optimisation, and production-facing ML pipelines within an AI-driven environment.
Responsibilities Train, fine-tune, and evaluate computer vision models for tasks such as object detection, segmentation, classification, and video understanding. Improve model accuracy, robustness, and inference performance through experimentation and optimisation. Analyse model failures, edge cases, and real-world performance issues. Work with large-scale datasets, preprocessing, augmentation, and validation. Prototype and evaluate new computer vision techniques and models. Support model deployment, monitoring, and production ML pipelines. Collaborate with engineers and researchers to translate experiments into production improvements.
Requirements Degree in Computer Science, AI, Machine Learning, or related f...