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 expe...