Platform Engineer
This role involves designing and maintaining the MLOps and deployment infrastructure that supports production-grade machine learning systems. You'll build and evolve containerised, cloud-agnostic platforms using Kubernetes and infrastructure-as-code, enabling data scientists to transition models from exploration to deployment. The position emphasizes ownership of scalable, secure DevSecOps pipelines across AWS, Azure, and GCP for diverse client environments.