Leonardo.Ai is building one of the world’s highest-throughput Generative AI platforms, enabling millions of users, from beginners to professionals, to create high-quality images and videos with ease. Now part of the Canva family, we’re growing our global R&D team to deliver AI tools, products, and infrastructure that make creativity limitless for nearly a quarter of a billion users.

SKILLS WE LOVE:

• Generative AI Experience: Experience deploying diffusion-based or similar generative models into production and working with inference optimisation techniques.
• MLOps Expertise: Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
• Infrastructure & Cloud: Hands-on with AWS (S3, EC2, SageMaker), Kubernetes, Docker, and Infrastructure-as-Code (Terraform).
• Performance & Efficiency: Proficient in techniques such as quantisation, distillation, caching, and distributed inference.
• Data Foundations: Ability to design scalable data pipelines and storage solutions (SQL/NoSQL).
• Engineering Craft: Strong Python skills and a focus on writing clear, maintainable, and collaborative code.
• Collaboration & Growth: Thrive in cross-functional teams, value open feedback, and enjoy supporting others’ success while learning continuously.

THE ROLE:

We’re looking for a Senior Machine Learning Engineer to join our Platform Tribe, the team that provides the tools, infrastructure, and expertise that help every other product team at Leonardo move faster.
In this role, you’ll work at the intersection of Generative AI and MLOps. You’ll partner with researchers and engineers, be embedded in other teams for high-impact projects, and help design the pipelines, GPU infrastructure, and automation that transform cutting-edge research into production-ready features, making creativity accessible to millions of people.
Your work will have a direct and visible impact: you’ll enable teams across Leonardo to deliver AI-powered features faster, more reliably, and at scale.