Leonardo.Ai is hiring a Senior Machine Learning Engineer to join our Platform Tribe. You will provide the tools, infrastructure, and expertise to help our product teams move faster, working at the intersection of Generative AI and MLOps to transform cutting-edge research into production-ready features.

What You'll Do

Collaborate with researchers to bring new models from prototype to production.
Build and maintain production pipelines for diffusion-based and related generative models.
Optimise inference for speed, reliability, and efficiency.
Tackle complex challenges like orchestrating multi-GPU video pipelines.
Develop and maintain automated MLOps pipelines for training, deployment, monitoring, and retraining.
Build CI/CD workflows that make handovers from research to production seamless.
Create scalable data pipelines and storage solutions for high-throughput workloads.
Set up clear monitoring and alerting for model performance.
Design secure, reliable infrastructure on AWS using Infrastructure-as-Code.
Be embedded in other teams to support high-impact projects requiring deep ML expertise.
Develop shared tooling, reusable workflows, and architecture patterns.
Promote knowledge-sharing, best practices, and scalable solutions.

What We're Looking For

Experience deploying diffusion-based or similar generative models into production.
Experience working with inference optimisation techniques.
Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
Hands-on experience with AWS, Kubernetes, Docker, and Infrastructure-as-Code.
Proficiency in techniques such as quantisation, distillation, caching, and distributed inference.
Ability to design scalable data pipelines and storage solutions.
Strong Python skills.
Focus on writing clear, maintainable, and collaborative code.

Technical Stack

Python
AWS (S3, EC2, SageMaker)
Kubernetes, Docker
Terraform
Prometheus, Grafana, CloudWatch
SQL/NoSQL

Team & Environment

You will be part of the Platform Tribe, embedded with teams from Generations to Enterprise to support high-impact projects.

Benefits & Compensation

Reward package including equity.
Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave.
An annual Vibe & Thrive allowance for wellbeing, social connection, and office setup.
Flexible leave options, including remote working abroad.
Support with your professional development.
Fun and engaging company events, both virtual and in-person.
20 days annual leave.