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Machine Learning Engineer - Australia Wide Opportunity

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Onsite

Machine Learning Engineer - Australia Wide Opportunity

IMDEX

Machine Learning Engineer - Australia Wide Opportunity

Skills

DockerPythonData SciencepandasPyTorchTensorFlowMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Perth WA, Australia

Work mode:

Onsite

Published on:

29 September 2026

What they need


About IMDEX

At IMDEX, we create technology that efficiently and sustainably unlocks the Earth’s value. Our technologies and products allow smarter and safer decisions for people, assets and the earth. Through innovation and curiosity, we continue to find new ways to improve accuracy and efficiency in mining in a more sustainable way. For further information visit www.imdex.com.

The opportunity

The Machine Learning Engineer is responsible for developing, implementing, and maintaining reliable machine-learning components that support IMDEX’s Digital Orebody Knowledge (OBK) solutions.

Working under the guidance of Senior Machine Learning Engineers and the AI Lead, this role transforms data-science prototypes into well-structured, tested, and maintainable ML pipelines and services.

The Machine Learning Engineer collaborates closely with Geo-Data Scientists, Software Engineers, and Product Managers to support feature development, improve model performance, and contribute to IMDEX’s internal ML delivery platform (Nexus).

This position focuses on strong execution, code quality, and continuous learning, contributing to the growing maturity of IMDEX’s ML engineering capability.

Key Responsibilities

  • Develop, test and deploy reliable machine learning features, models and supporting data pipelines.
  • Write clean, maintainable, documented and well-tested Python code in line with IMDEX engineering standards.
  • Contribute to IMDEX’s Nexus ML platform, including reusable tools, templates and CI/CD integration.
  • Collaborate with Geo-Data Scientists, Product Managers and Software Engineers across discovery, development and release.
  • Conduct experiments, benchmarking, model evaluation and error analysis using robust validation practices.
  • Identify opportunities to improve model performance, delivery efficiency, maintainability and technical quality.
  • Contribute to feasibility assessments, technical scoping, estimation, documentation and demonstrations.
  • Communicate progress, risks, blockers and dependencies clearly to technical and project stakeholders.
  • Take ownership of commitments, work collaboratively, seek feedback and constructively address issues.

To be successful

  • Bachelor’s degree (or equivalent experience) in Computer Science, Data Science, or a related field.
  • Proficiency in Python with demonstrated experience writing production-grade code.
  • Exposure to ML frameworks such as PyTorch, TensorFlow, scikit-learn, and pandas.
  • Understanding of ML lifecycle management, validation, and performance monitoring.
  • Experience working in cloud or containerised environments (e.g., Docker, CI/CD pipelines).
  • Strong collaboration and communication skills within multidisciplinary teams.
  • Experience with MLOps tooling (model registry, automated evaluation, drift monitoring).
  • Understanding of geoscience or spatial data.
  • Experience contributing to documentation, playbooks, or internal enablement materials.

At IMDEX - we do things differently

IMDEX is a unique blend of technology and mining. Our people bring contrasting and complementary skills together which drive innovation, adaptability, and holistic problem solving.

We offer our global talent:

  • A culture of care – we care and look out for our people by fostering an inclusive and respectful working environment.
  • Game changing work – we give you autonomy and provide flexibility that harnesses your strengths and individuality.
  • Opportunities to grow – we want you to grow and expand your thinking and provide clear career pathways so you can see where you can go next.
  • Empowerment by purpose – to be close to the solution and change the face of mining forever.
  • Ability to build strong connections within a global business – you will have the opportunity to collaborate with people from all over the world.

IMDEX is an Equal Opportunity Employer committed to employing a diverse workforce and providing a workplace of respect and inclusiveness. We place great emphasis on ensuring our company is a safe, high performing and welcoming workplace.

The information submitted during the recruitment process will be stored and processed as per IMDEX Limited Privacy Policy found at https://www.imdex.com/privacy-policy

Agency calls and candidates will not be considered. Shortlisting starts immediately.

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