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Full time
Technology

Senior Machine Learning Engineer

Calleo AustraliaMelbourne, Victoria🇦🇺AustraliaPosted 21 Apr 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Overview

One of our highly regarded Federal Government Clients' are currently going through a number of upgrades and enhancement projects and as part of that transition, they are seeking talented Senior Machine Learning Engineers and MLOps Engineers to join the team. This role is critical in enabling data-driven decision-making and delivering innovative AI capabilities within a secure and compliant environment.

Due to the nature of the role, candidates must be Australian Citizens to be found suitable. Those with Federal Government clearances are encouraged to apply.

Key duties and responsibilities
  • Design and implement machine learning models and algorithms for complex datasets.
  • Develop and maintain ML pipelines for training, testing, and deployment.
  • Optimise models for performance, scalability, and accuracy in production environments.
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions.
  • Ensure compliance with Australian Government security frameworks (ISM, PSPF) and ethical AI principles.
  • Implement monitoring and maintenance processes for deployed models, including data drift detection.
  • Provide technical advice, mentorship, and capability building within the team.
  • Stay current with emerging ML technologies and best practices.
Candidates with the following skills and experiences are encouraged to apply
  • Demonstrated experience in machine learning engineering within complex environments.
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with data engineering, feature engineering, and model optimisation.
  • Familiarity with ML Ops practices and tools (Kubeflow, MLflow, Airflow).
  • Knowledge of cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to manage competing priorities.
What is on Offer
  • Great Contract role with extension options
  • Hybrid working arrangements from Melbourne and Adelaide locations
  • Competitive Hourly rates available
How to apply

Please contact Raj Singh at or apply via the links provided.

Calleo is an equal opportunity employer and we encourage applications from all people, including Aboriginal and Torres Strait Islander peoples.

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Skills

Docker
GCP
AWS
MLOps
MLflow
Machine Learning
Scikit-learn
Airflow
Azure
Kubernetes
PyTorch
Python
TensorFlow

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