AI Team Lead

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