Senior Machine Learning Engineer

Job requirements

• Bachelor's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience (required).
• 5+ years of hands-on experience developing and delivering machine learning models, with evidence of independently taking complex work from an initial problem to a working solution (required).
• Strong foundations in deep learning and computer vision, including practical experience with image classification, detection, or segmentation (required).
• Strong Python skills and experience with a modern deep learning framework such as PyTorch (required).
• Track record of deploying models into products and measuring performance beyond development datasets (required).
• Rigor in experimental design and evaluation, including appropriate baselines, uncertainty, failure-mode analysis, and distinguishing meaningful gains from noise (required).
• Strong software engineering practices, including maintainable code, testing, version control, and reproducibility (required).
• Sound judgement on trade-offs between model quality, complexity, inference cost, and delivery time (required).
• Ability to work autonomously and collaborate effectively across disciplines, with clear written communication (required).
• Preferred: Medical imaging experience, or other applications involving variable image quality and limited or noisy labels.
• Preferred: Developing and validating models for regulated products.
• Preferred: Self-supervised learning, transfer learning, or foundation models for computer vision.
• Preferred: Distributed training, cloud infrastructure, or inference optimisation.
• Preferred: Monitoring deployed models and addressing changes in data or performance over time.

Quality Standards

Travel

Working Environment