Senior ML Engineer

Alinta Energy is one of Australia’s biggest energy retailers, generators and developers with over 1.1 million customers. Australia’s energy system is undergoing the biggest transformation in its history and we’re right there with it. We’re investing in and developing large-scale renewables and storage projects as part of our ongoing effort to provide our customers with reliable, affordable and sustainable energy.

We understand that flexibility matters when considering your next role. Let us know your requirements, and we’ll carefully consider how we might accommodate them.

Ready to make a real impact?

As a Senior ML Engineer, you'll play a key role in advancing Alinta Energy's machine learning capabilities within our Data & AI Platforms team. Working on a world-leading Data & AI platform built on Azure and Databricks, you'll collaborate closely with data scientists and engineers to bring machine learning solutions into production across trading, forecasting, pricing, retail and enterprise initiatives. You'll design and optimise ML pipelines, deploy and monitor models at scale, and help shape the future of MLOps at Alinta. This is an opportunity to work with cutting-edge technologies while contributing to Australia's energy transition, alongside a highly skilled team committed to innovation, collaboration and continuous learning.

This role can be based in Melbourne, Sydney or Adelaide.

Why you’ll love working here

At Alinta Energy, we’re taking real action to deliver reliable and sustainable energy for Australia - and that practical approach runs through everything we do. You’ll get clear direction, genuine flexibility, and the support you need to grow, all while working on projects that make a lasting difference. We’re big enough to create impact, but small enough that your ideas and effort will always be seen.

There are plenty of other great benefits of working for Alinta Energy, including flexible working, energy discounts, an Employee Assistance Program (EAP), a paid volunteer day each year, fully stocked kitchens, and lots more.

What you’ll do

Design, build and optimise machine learning pipelines and production workflows

Deploy, monitor and maintain machine learning models in Azure and Databricks environments

Implement MLOps practices including CI/CD, model versioning, monitoring and automated retraining

Develop scalable data pipelines, feature engineering processes and ML-ready data structures

Partner with data scientists to productionise research models and accelerate value delivery

Collaborate with data engineers and business stakeholders to deliver ML-enabled solutions

Mentor peers and contribute to ML engineering and MLOps best practices across the team

Your experience

Extensive commercial experience in machine learning engineering, data engineering or a related field

Hands-on experience with Databricks, MLflow, Azure, Python and Spark

Strong knowledge of MLOps practices including deployment, monitoring, CI/CD and model lifecycle management

Experience delivering production-grade machine learning solutions at scale

Background building data pipelines, ELT/ETL frameworks and cloud-based data platforms

Strong software engineering fundamentals including testing, code review and continuous improvement

Collaborative stakeholder engagement skills with the ability to work across technical and business teams

Please note this role requires full working rights within Australia.

This role is best suited to a resilient and collaborative ML Engineer who enjoys solving complex problems, working with modern cloud technologies, and translating machine learning opportunities into real business outcomes.

Like what you’re seeing?

If you like the sound of this, and you’ve got experience in a similar role, we’d love to talk to you. Come and discover better together with Alinta Energy.

We are a 2026 Circle Back Initiative Employer – we commit to respond to every applicant.

If your application progresses, we will need to complete background and pre-employment checks, such as immigration checks, reference checks, criminal background checks, qualification checks, and additional checks for roles related to finance.

Our Diversity Commitment

We look forward to hearing from you.

Closing date: 7th August 2026 11.55pm AEST

Technology at Alinta Energy