Permanent | Sydney (Hybrid) We’re hiring a Machine Learning Engineer to join a high-impact AI team delivering scalable, production-ready solutions across a major Australian organisation. This role is ideal for someone who enjoys bringing models to life, building robust pipelines, and working on real-world ML and AI applications. You’ll collaborate with Engineers, Data Scientists, and Product teams to build, scale, and automate ML workflows, leveraging best-in-class tools across cloud, MLOps, and software engineering. What you’ll be doing : Build and scale end-to-end ML pipelines using Vertex AI Pipelines, Argo, or Kubeflow Productionise LLMs, generative AI, and predictive models Develop APIs and reusable components for deployment into business applications Work in a modern MLOps environment with CI/CD and version control Support and maintain cloud-based solutions at scale (GCP preferred) What we’re looking for : Strong experience building ML pipelines with Vertex AI Pipelines, Argo, or Kubeflow Proficiency in Python and tools such as FastAPI Understanding of deploying and scaling models in production environments Hands-on GCP experience, or similar cloud platforms Familiarity with CI/CD tools such as GitHub Actions and Infrastructure as Code (Terraform preferred) Exposure to LLMs, embeddings, and vector search is a plus Bonus points for: Knowledge of reusable architecture and solution design principles Experience working in a cross-functional product-focused environment Interest in innovation and emerging AI/ML technologies If this sounds like you, we’d love to hear from you. Please apply today.
