
Full Stack Machine Learning Engineer
3 days ago
Overview
Cloud-based platform delivering AI-powered predictive maintenance and asset reliability for large-scale industrial operations.
The Company
This fast-growing, private-equity-backed SaaS business is redefining how asset-intensive industries harness data and AI to drive reliability and performance. Their enterprise platform is trusted by global leaders, delivering smarter, faster, and more accurate insights for large-scale operations. With a modern technology stack, a collaborative engineering culture, and an ambitious growth trajectory, they offer the chance to help shape the future of industrial intelligence.
The Role
As a Full Stack Machine Learning Engineer, you’ll join a high-performing R&D team working on mission-critical AI solutions for predictive maintenance and operational optimisation. Reporting to the Manager of AI & Data Science, you’ll design, build, and deploy production-grade ML models that power real-time decision support and automation across complex environments. You’ll work hands-on with one of the world’s richest industrial datasets, collaborating with domain experts and product teams to deliver solutions that make a measurable impact in the field.
About You
You’re a technically strong and ambitious ML engineer who thrives in collaborative, fast-paced environments. You enjoy solving complex problems, building scalable solutions, and working across modern frameworks and cloud platforms. With a solid grounding in end-to-end ML development and a passion for deploying models that deliver real-world results, you’re eager to keep learning and contribute ideas that push the boundaries of industrial AI.
Skills & Experience
- 3+ years of experience in machine learning engineering, including at least 1 year in industrial applications (IoT, predictive analytics, fleet telemetry, or similar)
- Strong proficiency in Python for ML development
- Experience with ML frameworks (TensorFlow, PyTorch) and libraries (scikit-learn, Hugging Face)
- Proven track record of deploying ML models into production (time-series forecasting, anomaly detection, classification)
- Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, or similar) for model versioning, monitoring, and retraining
- Familiarity with agentic AI concepts (multi-agent systems, human-in-the-loop implementations)
- Understanding of data pipelines and ETL for multimodal datasets (sensor, image, text, telemetry)
- Cloud deployment experience (AWS, Azure, or GCP) with containerisation (Docker, Kubernetes)
- Knowledge of interpretable ML techniques (e.g., SHAP, LIME)
Valuable extras
- Experience with predictive maintenance or condition monitoring
- Exposure to computer vision (thermal imaging, defect detection)
- Familiarity with graph neural networks or multimodal AI
- Contributions to open-source ML projects or publications in industrial AI
What’s on Offer
- Competitive salary and performance bonus
- Flexible hybrid working arrangements
- Dedicated professional development opportunities
- Inclusive, collaborative company culture
- Support for work-life balance, including extra leave and wellbeing initiatives
Apply Now
If you’re ready to make an impact in a fast-growing SaaS business and help deliver AI solutions that transform asset reliability and performance, apply today Click “Apply Now” or reach out to the Brisbane office for a confidential discussion.
#J-18808-Ljbffr
-
Senior Machine Learning Engineer
7 days ago
Brisbane, Queensland, Australia P&C Partners Full time $120,000 - $180,000 per yearFull Stack Machine Learning EngineerJoin a rapidly growing SaaS company delivering AI-powered predictive maintenance and asset reliability solutions for large-scale industrial operations. Be part of an ambitious R&D team leveraging decades of curated machine health data and live sensor streams to build and deploy production-grade ML models that make a real...
-
Full Stack Machine Learning Engineer
7 days ago
Brisbane, Queensland, Australia DINGO Full time $120,000 - $180,000 per yearReports To:VP of R&DDepartment:R&DLocation:Australia, Brisbane Preferred (Hybrid)Employment Type:Full time, permanentAbout Dingo SoftwareDingo Software is the global leader in predictive maintenance software for the mining industry, serving some of the world's largest mining companies. We drive efficiency, longevity, and reliability for machines that matter....
-
Full Stack Software Engineer
4 weeks ago
Brisbane, Queensland, Australia Labrys Full timeOverviewJoin to apply for the Full Stack Software Engineer role at Labrys.Location: Milton, QLD, Australia. Department: Engineering. Employment type: Full-time, on-site (no remote/hybrid available).Job DescriptionFull Stack Software Engineer (MERN / Next.js / TypeScript) – Full TimeAbout UsLabrys is a blockchain technology company based in Brisbane. We...
-
Full Stack Software Engineer
4 weeks ago
Brisbane, Queensland, Australia Labrys Full timeOverviewJoin to apply for the Full Stack Software Engineer role at Labrys.Location: Milton, QLD, Australia. Department: Engineering. Employment type: Full-time, on-site (no remote/hybrid available).Job DescriptionFull Stack Software Engineer (MERN / / TypeScript) – Full TimeAbout UsLabrys is a blockchain technology company based in Brisbane. We help...
-
Full Stack Software Engineer
3 weeks ago
Brisbane, Queensland, Australia Labrys Full timeOverviewPosition: Full Stack Software Engineer (MERN / Next.js / TypeScript) – Full Time – On-siteLocation: Level 1, 299 Coronation Drive, Milton QLD 4064Salary: $80,000 – $120,000 AUD (inclusive of superannuation)Work type: Full-time, on-site (no remote/hybrid available)Department: EngineeringAbout UsLabrys is a blockchain technology company based in...
-
Full Stack Software Engineer
3 weeks ago
Brisbane, Queensland, Australia Labrys Full timeOverviewPosition: Full Stack Software Engineer (MERN / Next.js / TypeScript) – Full Time – On-siteLocation: Level 1, 299 Coronation Drive, Milton QLD 4064Salary: $80,000 – $120,000 AUD (inclusive of superannuation)Work type: Full-time, on-site (no remote/hybrid available)Department: EngineeringAbout UsLabrys is a blockchain technology company based in...
-
Full Stack Engineer
2 days ago
Brisbane, Queensland, Australia Onepoint Full time $120,000 - $180,000 per yearPurpose of the role:As a Senior Software Engineer provides technical leadership and expertise, driving the design, development, and ongoing maintenance of robust software solutions.They ensure technical excellence through modern development practices, robust coding standards, strategic technology use, and alignment with business goals. This role actively...
-
Specialist Machine Learning Engineer
6 days ago
Council of the City of Sydney, Australia Singtel Group Full timeOverview At Optus, we are fuelled by optimism, unwavering customer focus, and a team of amazing people. And that’s where we come in…. “the amazing people” part! We don’t sit back and wait for the future to happen, we are out there crafting our own path through new technology, innovation, and investment. We are truly a challenger brand, with...
-
Machine Learning Engineer
2 days ago
Brisbane, Queensland, Australia GRIT Talent Consulting Full time $100,000 - $150,000 per yearGRIT on the lookout for a Machine Learning Engineer with strong Python skills and experience delivering within larger, cross-functional teams. In this role, you'll be responsible for designing, developing, and deploying ML models and AI solutions on Azure, working alongside BAs, developers, and other data professionals. What You'll Do Design, develop, and...
-
Senior Machine Learning Engineer
2 weeks ago
City of Brisbane, Australia black.ai Full timeLocation Sydney (Hybrid), Adelaide (Remote), Australia (Remote), Brisbane (Hybrid/Remote), Melbourne (Hybrid/Remote), Perth (Remote) Employment Type Full time Location Type Hybrid Department Engineering Leonardo.Ai is building one of the world’s highest-throughput Generative AI platforms, enabling millions of users, from beginners to professionals,...