Senior Machine Learning Engineer

The role

We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool.

As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will

• Contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation
• Design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles
• Architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform
• Establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications
• Mentor more junior research scientists and engineers
• Identify and surface novel features in support of patenting activities
• Work closely with our software development and regulatory team for efficient integration from R&D to deployment