Machine Learning Engineer

Bailey AbbottPerthHybridContract6 Oct 2026

Bailey Abbott, an IT consultancy, is seeking a Machine Learning Engineer with a strong software engineering foundation to productionise, scale, and maintain advanced analytical and predictive models. The role involves building scalable data pipelines and automated ML lifecycles within a Databricks environment using Spark, R, and modern engineering practices. This is a hybrid contract position based in Perth, Western Australia.

What you'll do

Build, test, and optimize production-grade data processing and model training pipelines in Apache Spark and Databricks
Standardise model deployment, versioning, monitoring, and automated retraining workflows (CI/CD, MLflow)
Apply software engineering best practices—modular code architecture, automated testing, containerisation, and version control—to analytical and statistical codebases
Optimise and scale R-based modeling workflows to run efficiently over distributed data architectures using Sparklyr/SparkR
Partner with data architects, data engineers, and domain analysts to integrate predictive outputs cleanly into downstream systems and analytical platforms
Monitor pipeline latency, manage compute cluster sizing, and ensure data integrity and governance across production workspaces

What you need

Must-have

Apache SparkDatabricksRMLflowUnity CatalogDelta LakeGitCI/CD

Nice-to-have

PythonPySparkAzureAWSGCPTerraformModel Drift DetectionData LineageData Governance

Soft skills

CollaborationCommunicationProblem SolvingOwnershipAdaptabilityCreativity

Machine Learning EngineerIT ServicesIT ConsultingDatabricksApache SparkRMLOpsContractHybridPerth

/What you'll do

/What you need

Must-have

Nice-to-have

Soft skills

What you'll do

What you need