Senior Machine Learning Engineer

Hypervision Surgical is a spin-out from King’s College London focused on AI-driven surgical imaging solutions. They are seeking a Senior Machine Learning Engineer to develop and deploy their AI/ML surgical vision platform, working closely with research scientists and engineers to enhance machine learning models and data pipelines for clinical applications.

Responsibilities:

• 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