Join a nationally significant organisation responsible for delivering critical weather, climate and environmental services that impact millions of Australians every day.
This is an exciting opportunity for an experienced Machine Learning Engineer (MLOps) to work at the intersection of machine learning, cloud engineering and scientific data, helping transform advanced forecasting models into production-ready services.About the RoleAs a Machine Learning Engineer(MLOps), you will play a key role in designing, deploying and maintaining machine learning models that support forecasting, decision-support systems and customer-facing services.Working within a multidisciplinary team of scientists, engineers and domain experts, you will develop scalable machine learning solutions using complex time-series, geospatial and scientific datasets.
You'll be responsible for managing the full model lifecycle, from data ingestion and feature engineering through to deployment, monitoring and continuous improvement.This role is ideal for someone who enjoys taking innovative models beyond experimentation and into reliable, production-grade systems that deliver real-world outcomes.Key Responsibilities:Develop, deploy and optimise machine learning and statistical models supporting forecasting and decision-support servicesWork with large-scale time-series, geospatial and scientific datasets to deliver robust predictive solutionsDesign and implement end-to-end machine learning pipelines, including data ingestion, training, validation and deploymentOperationalise machine learning models through APIs,



automated workflows and backend servicesMonitor model performance through logging, alerting, drift detection, retraining strategies and performance optimisationDeploy and manage ML workloads within cloud environments using modern MLOps practicesCollaborate with scientists, engineers and business stakeholders to develop practical, data-driven solutionsContribute to system architecture, tooling, automation and continuous improvement initiativesDocument models, technical decisions and workflows to support knowledge sharing and maintainabilityEnsure solutions meet security, quality and operational requirementsSkills & Experience Required:Strong experience developing, training, validating and deploying machine learning models in production environmentsProven expertise in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Scikit-learnExperience working with large-scale time-series, geospatial, scientific or environmental datasetsStrong understanding of feature engineering, model evaluation, optimisation and experimentation techniquesExperience designing and managing end-to-end MLOps pipelines, including model versioning, monitoring and automationHands-on experience with AWS services such as SageMaker, S3, IAM,



CloudWatch and container-based deploymentsExperience with CI/CD, Infrastructure as Code and automation tools including Docker, GitHub Actions, GitLab CI, Terraform or similarKnowledge of API development, backend integration and production-grade software engineering practicesStrong analytical, problem-solving and stakeholder engagement skillsDemonstrated ability to translate research or experimental models into scalable, reliable production solutionsHighly Desirable:Active AGSVA Security clearance (NV1 preferred)Experience within weather, climate, energy, environmental or other scientific domainsExperience working with geospatial data formats such as NetCDF, GRIB, Zarr or ParquetKnowledge of Airflow, SageMaker Pipelines, AWS Step Functions or similar orchestration platformsPhD or advanced qualifications in Data Science, Machine Learning, Computer Science, Mathematics, Engineering or a related disciplineWhat's on Offer:Contract until 30 June ****Opportunity to work on technology that delivers real-world impact across AustraliaModern AWS cloud environment and advanced machine learning toolsetsCollaborative multidisciplinary team of scientists, engineers and data specialistsHybrid work arrangementDue to the nature of this role, this job is open to Australian Citizens only.Calleo is an equal prospect employer and we encourage applications from all people including Aboriginal and Torres Strait Islander peoples.
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📌 Machine Learning Engineer (Melbourne)
🏢 Calleo
📍 Melbourne