
Machine Learning Engineer - AI for Mining (Remote/WFH)
Quick overview
Job description
About Us
Founded 40 years ago, Micromine is at the cutting edge of next-generation technology for mining. With offices in 9 different countries, we are one of the world's premier mining software companies; our technology is used in all corners of the globe.
What We Offer
An established multinational business, growing fast, with great benefits:
- High growth company providing growth opportunities for our people
- Work from home (WFH) and flexibility options to balance work and home life
- 12 weeks paid parental leave - primary and secondary carers
- Free gym membership
- Employee Assistance Program for you and your family
- Social Connection and Responsibility Program
- Discounted private health insurance
- Novated leasing
- The opportunity to work across both the Mining and Technology sectors
- An engaging team culture and a modern office withinBrisbane's CBD
About The Opportunity
Micromine is at the forefront of revolutionising the mining industry through cutting-edge AI tools; enhancing efficiency, safety, and decision-making. As we continue to expand, we are seeking a Machine Learning Engineer to strengthen our team and drive innovation in AI-powered mining solutions.
In this role you will design, develop and implement machine learning models that solve real-world problems.
This isn't a role focused on simply integrating existing AI models like ChatGPT; we build our machine learning and AI solutions from scratch, tailored to our specific needs and challenges.
Focusing on our Spry and Advance product you will;
- Develop and deploy machine learning models using PyTorch.
- Optimise deep learning architectures for performance and scalability.
- Implement and maintain model training, evaluation, and monitoring pipelines.
- Work with large datasets and apply best practices for data preprocessing and feature engineering.
- Stay up to date with the latest advancements in deep learning and AI technologies.
About You
Ideally you will have a proven background in the Machine Learning / AI field.
Other key skills, experience, and qualifications:
- Strong experience with PyTorch (or similar framework) for deep learning model development.
- Experience deploying models in production environments.
- Proficiency in Python and familiarity with related ML libraries (NumPy, Pandas, Scikit-learn, etc.).
- Solid understanding of neural networks, computer vision, or NLP.
- Bachelor's or higher degree in Computer Science, AI, or a related field.
Next Steps
If you are looking to shape the future direction of technology in the industry, we encourage you to apply for this exciting opportunity.
To learn more or apply, visit our website at .
Micromine is dedicated to fostering a diverse and inclusive work environment, and we welcome applicants from a variety of backgrounds to apply.
Similar jobs
- LL
Senior CV/ML Engineer - Anti-Spoofing & Adversarial AIRecently posted
LexisNexis Legal & Professional group · Sydney · Hybrid · Posted 12 Nov 2026 🇦🇺
TechnologySalary not listed - LL
Senior Software Engineer (Computer Vision / ML Engineer)Recently posted
LexisNexis Legal & Professional group · Sydney · Hybrid · Posted 12 Nov 2026 🇦🇺
CUDAComputer VisionDeep Learning+5TechnologySalary not listed - AC
Applied AI/ML Consultant - Cloud Models & Responsible AIRecently posted
Accenture PLC · Canberra, Australian Capital Territory · Hybrid · Posted 13 Nov 2026 🇦🇺
Machine LearningTechnologySalary not listed - LR
Senior Computer Vision & ML Engineer - AustraliaRecently posted
LexisNexis Risk Solutions · Sydney · Hybrid · Posted 13 Nov 2026 🇦🇺
Computer VisionDeep LearningTechnologySalary not listed - CA
Senior Manager, ML EngineeringRecently posted Auto Apply
Careers at Eucalyptus · AU - HQ - NSW · Hybrid · Posted 13 Nov 2026 🇦🇺
RecruitingGCPData Pipeline+3Salary not listed - TI
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering -2026 StartRecently posted
TikTok Inc. · Sydney, New South Wales · Hybrid · Posted 12 Nov 2026 🇦🇺
NLPComputer VisionMachine LearningTechnologySalary not listed - TD
AI/ML Engineer - Relocation to AustraliaRecently posted
The Digital Bench Ltd · Sydney · Hybrid · Posted 11 Nov 2026 🇦🇺
Machine LearningTechnologyA$70k - A$95k/yr - SC

Machine Learning EngineerRecently posted
SLR Consulting · Perth, Western Australia · Hybrid · Posted 3 Nov 2026 🇦🇺
DroneGCPMLOps+8TechnologySalary not listed - FA

Machine Learning EngineerRecently posted
Faculty · Sydney, New South Wales · Hybrid · Posted 11 Nov 2026 🇦🇺
DockerGCPAWS+7TechnologySalary not listed - FA

Senior ML Engineer: Lead Production-Grade AI SystemsRecently posted
Faculty · Sydney · Hybrid · Posted 11 Nov 2026 🇦🇺
ManufacturingSalary not listed - TD
AI/ML Engineer - Relocation to AustraliaRecently posted
The Digital Bench Ltd · Devon Hills, Tasmania · Hybrid · Posted 11 Nov 2026 🇦🇺
Machine LearningTechnologyA$70k - A$95k/yr - UN
Principal ML Engineer: Agent Quality & AI SystemsRecently posted
UNAVAILABLE · Sydney · Hybrid · Posted 11 Nov 2026 🇦🇺
Machine LearningTechnologySalary not listed