> Markdown version of [/jobs/ext/798782-technical-program-manager](https://www.wearedevelopers.com/jobs/ext/798782-technical-program-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager - **Company:** Cmr Surgical - **Location:** UK - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Systems Engineering, Computer Vision, Field-Programmable Gate Array (FPGA), Imaging Technology, Machine Learning, Scrum Methodology, Digital Twin, Functional Dependencies, Machine Learning Operations - **Published:** June 16, 2026 - **Apply:** https://cmrsurgical.com/job-search/?jobname=TechnicalProgramManager ## About the Role To be successful in this role, you'll need to have/be: * Degree in a STEM discipline or equivalent experience. * Experience leading complex technical programmes involving AI, robotics, software, hardware or other advanced technology development. * Strong understanding of machine learning development workflows-data, training, evaluation and deployment and their interdependencies. * Experience coordinating multidisciplinary teams spanning software, hardware and systems engineering. * Demonstrated ability to drive delivery across multiple technical workstreams in an agile matrix organisation structure. * Experience managing programmes through ambiguity and technical uncertainty, taking capabilities from research or prototype to production. * Excellent communication and stakeholder management skills, up to executive level. * Experience with Agile, Scrum, Hybrid or equivalent delivery methodologies. Desired, but not essential: * Advanced degree (PhD or master's) in a relevant technical discipline. * Experience in medical devices, healthcare technology, robotics or other regulated, safety-critical industries. * Familiarity with computer vision, multimodal AI, simulation, digital twins, synthetic data, procedural intelligence or embodied AI. * Experience with hardware-software co-design, sensors, imaging systems, edge compute or embedded systems. * Experience coordinating high-performance compute (e.g. GPU/FPGA) sourcing and infrastructure and managing supplier dependencies. * Experience with MLOps governance and establishing frameworks for AI development. * Experience supporting regulated product development and quality management systems. * Experience managing external technology partnerships and suppliers. * PMP, AgilePM, CSPO or equivalent programme management qualifications. ## Description You will lead the delivery of a strategic AI programme, bringing advanced AI capabilities into Versius and CMR's digital ecosystem. Working at the intersection of data, machine learning, software, hardware and sensing, you will translate technical innovation into validated, commercial products and product features. You will coordinate multidisciplinary teams and external partners to deliver against a defined roadmap, managing cross functional dependencies, navigating uncertainty and driving alignment. You will also accelerate the deployment of AI enabled solutions from proof of concept through to commercial deployment in a regulated medical device environment. We will be combining cutting-edge robotics with AI to deliver real-world impact in the operating room. If you want your programme leadership to directly shape the future of robotic surgery, this is a rare opportunity to do so at scale. This role is offered on a hybrid basis, with a minimum of 3 days a week being based in the office. Responsibilities * Own the planning and delivery of a strategic AI programme, from concept through to product re-lease and beyond. * Define programme objectives, milestones, success criteria and delivery plans, and track performance against technical and business goals. * Coordinate activities across cross functional teams and external partners. * Identify key capabilities and resource requirements for the programme and work with line managers to fill these capabilities. * Coordinate compute and infrastructure planning, including high-performance compute sourcing and supplier dependencies. * Coordinate delivery across the full AI lifecycle: data acquisition and governance, annotation and ground-truth generation, synthetic data, model development and evaluation, verification and vali-dation, and deployment and monitoring. * Identify, manage and mitigate technical, operational and delivery risks, and drive decision-making and issue resolution across stakeholders. * Support technical trade-off discussions and roadmap prioritisation with stakeholders. * Provide clear programme visibility through reporting, reviews and governance forums, building alignment across engineering, product marketing, clinical, regulatory and executive stakeholders. * Support external collaborations with academic partners, suppliers and technology vendors. * Establish and improve programme management processes and governance appropriate for AI-enabled medical device development. We'd expect you to turn your hand to whatever helps the programme deliver, balancing research uncertain-ty with the discipline of commercial, regulated delivery. ## Related Videos - [AI in Regulated Industry - Validating AI-Enabled Products with PLM and Digital Twins](https://www.wearedevelopers.com/videos/2065-ai-in-regulated-industry-validating-ai-enabled-products-with-plm-and-digital-twins) - [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption) - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [6 Emerging Technologies We’ll Learn About in 2025](https://www.wearedevelopers.com/magazine/381-6-emerging-technologies-we-ll-learn-about-in-2025) - [Should Tech Managers Be Developers First? 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