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.
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