Naitive’s Mission

Naitive’s mission is to improve population health through early detection and management of orthopedic diseases. Our first product, OsteoSight, is an FDA Breakthrough-designated AI tool that screens for osteoporosis from plain X-rays, enabling early intervention and better outcomes. Building on this, we are developing a suite of bone health solutions to support care across the orthopedic pathway.

To support this, Naitive is building a care pathway delivery platform for U.S. orthopedic practices, integrating AI-driven insights and enabling streamlined care coordination within routine clinical workflows.

Position Overview

This position plays a key role in supporting Naitive’s mission. We are looking for a Machine Learning Team Lead who goes beyond day-to-day management to shape the technical vision and culture of our ML department. You will guide the team through rigorous experimental design, bridge the gap between research and production, and actively contribute to our intellectual property portfolio, while remaining hands-on in the development of life-changing medical imaging algorithms.

Responsibilities

• Team Leadership & Culture: Line manage members of the Machine Learning team, focusing not just on performance and day-to-day coordination, but on establishing a culture of innovation and rigorous scientific inquiry
• Experimental Design & Scientific Rigor: Define and champion best practices for ML experimental design, ensuring robust hypothesis testing, valid evaluation metrics, and reproducible results
• Research-to-Production Pipeline: Architect and oversee the transition of ML models from exploratory research (e.g., Jupyter notebooks) into deployable production code
• Intellectual Property Generation: Actively identify gaps and novel solutions within our technical roadmap to expand Naitive’s IP portfolio. Lead the ideation process and collaborate on writing and filing patents
• Hands-on Technical Contribution: Contribute technically to model development, training, and validation, with a specialised focus on medical image analysis and computer vision
• Regulatory & Quality Compliance: Ensure all team outputs align with company quality systems and stringent medical device regulatory standards (FDA, ISO, etc.)
• Cross-Functional Collaboration: Partner effectively with engineering and product teams to seamlessly integrate ML tools into the broader care pathway delivery platform