About Our Client
Our client is delivering a large‑scale, data‑driven transformation program within the energy and utilities sector, supporting the evolution of analytics and machine learning capability across critical infrastructure.
The program focuses on building robust, scalable data and ML platforms using modern cloud‑native technologies to enable advanced analytics, operational insight, and intelligent decision‑making at scale.
About the Role
We are seeking an experienced ML Data Engineer / ML Ops Engineer to support the deployment and operationalisation of machine learning models within a production environment.
This role sits at the intersection of data engineering, machine learning, and DevOps, with a strong focus on taking models from development into reliable, scalable, production‑ready systems.
You will work closely with data scientists, data engineers, and software engineers to ensure models are effectively deployed, monitored, and optimised within a cloud‑based analytics ecosystem.
Key Responsibilities
* Deploy machine learning models into production environments that are secure, scalable, and performant
* Build and optimise data pipelines and cloud infrastructure required to support model training and inference
* Collaborate with data scientists to understand model designs and performance considerations
* Integrate ML models into broader data platforms and applications
* Monitor models for performance, drift, and degradation, implementing retraining strategies where required
* Improve reliability, efficiency, and automation across ML deployment workflows
* Support best practices across ML Ops, including versioning, monitoring, and deployment pipelines
The Successful Candidate
You will be a hands‑on ML‑focused engineer with strong experience bridging data engineering and production machine learning environments.
Required experience and skills include:
* Strong experience with Azure‑based data and ML platforms
* Hands‑on experience with technologies such as:
* Databricks
* ML frameworks
* Apache Spark
* dbt
* Snowflake
* Python (and/or R)
* Experience building, deploying, and maintaining production ML pipelines
* Understanding of data engineering foundations and how ML solutions consume data pipelines
* Familiarity with CI/CD and deployment tooling (e.g. Bamboo or similar)
* Ability to work collaboratively across data science, engineering, and application teams
What's on offer?
* 12‑month contract on a major, high‑impact transformation program
* Perth‑based role with exposure to enterprise‑scale ML and data platforms
* Opportunity to work with a modern cloud‑native ML technology stack
* Collaborative, technically mature team environment
* Competitive contracting rates aligned with market demand