AI Team Lead

About the company

Sunrise Group develops proprietary sleep-health hardware and software and delivers nationwide virtual sleep care through its digital clinic, Dreem Health.

About this role

OUR MISSION: At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost. OUR VISION: We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future. THE ROLE: As AI Team Lead at Sunrise Robotics, you will own the direction, performance, and output of our AI team, building the systems that power robotic deployments in real production environments. You’ll lead a multidisciplinary team across computer vision, deep learning, and robotics, setting technical direction and ensuring execution against our AI roadmap. This is a hands-on leadership role: you’ll make key architectural decisions, guide the team’s work, and stay close enough to the technical details to ensure what we build performs reliably on real hardware. Your responsibility is not just to develop models, but to build a high-performing team and deliver AI systems that work in production - from data and training through to deployment and monitoring. WHAT YOU'LL DO: - Build, lead, and scale a high-performing AI team, including hiring, mentoring, and performance management - Set and evolve the technical direction for perception and AI-driven motion control - Own execution of the AI roadmap, ensuring delivery against clear priorities and timelines - Architect AI systems and infrastructure across training, evaluation, deployment, and monitoring - Oversee development of end-to-end ML systems running in production environments - Ensure high standards of engineering quality, reliability, and operational performance across the team - Drive integration of synthetic data, simulation, and real-world data into development workflows - Collaborate with robotics, simulation, and deployment teams to bring AI systems into real-world operation WHAT YOU'LL NEED: - Proven experience leading AI or ML teams with clear ownership of delivery and outcomes - Strong track record of building and deploying production-grade ML systems - Experience hiring, mentoring, and growing high-performing engineering teams - Ability to define technical direction and translate it into execution - Deep expertise in machine learning or computer vision, including 2D/3D perception systems - Strong proficiency in Python, PyTorch, and modern computer vision frameworks - Strong understanding of model training, optimisation, deployment, and monitoring - Experience with MLOps tooling (e.g. MLflow, W&B, ClearML, or similar) - Experience working with real-world data pipelines and production constraints - Strong communication skills, with the ability to align teams and stakeholders WHAT MAKES YOU STAND OUT: - Experience leading AI teams in robotics or embodied AI environments - Experience with synthetic data generation and domain adaptation - Experience deploying and monitoring reinforcement learning systems in production - Familiarity with ROS2, Docker, Kubernetes, and cloud platforms (AWS, GCP) - Experience working with NVIDIA edge devices or robotics stacks - Experience integrating perception systems with real-world hardware WHY US: We’re building a new category of intelligent, flexible robotic automation with real deployments, real customers, and momentum across Europe. - High exposure: Work directly with founders and leadership to define AI strategy and build the team - Career acceleration: Own and scale the AI function in a category-defining robotics company - Real impact: Lead the development of AI systems that run in production and directly enable robot autonomy and performance