The Company

This is a high-growth industrial tech company revolutionising the way heavy industries monitor, maintain, and optimise their equipment. Backed by award-winning innovation and real-world impact, they’re known for building rugged IoT systems that deliver real-time insights across mining, energy, manufacturing, and logistics. With a culture that blends startup pace with engineering discipline, they are building out their software team to scale a new generation of ML-enabled products that solve real operational problems.

The Role

This is a rare opportunity to build the foundation of the company’s machine learning capability from scratch. As the Software Engineer (ML & .NET), you'll be hands-on across the full stack — designing models, building real-time microservices, and integrating ML with the broader software ecosystem. You’ll work in a greenfield environment, collaborating with product owners, software engineers, and hardware teams to create scalable ML-driven solutions that impact safety, efficiency, and decision-making in real time.

Key responsibilities include:

• Designing and developing ML models for predictive maintenance, anomaly detection, and condition monitoring
• Building microservices using gRPC and integrating them with RabbitMQ
• Owning the end-to-end pipeline — from data ingestion and wrangling to model deployment and monitoring
• Working closely with cross-functional teams to ensure smooth integration with production systems

About You

You’re a pragmatic and curious software engineer who thrives in hands-on, build-first environments. You don’t just want to tinker with models — you want to see them perform at scale. You’re comfortable with ambiguity, excited by greenfield opportunities, and eager to be part of a team that delivers tangible results for industrial customers.

Skills & Experience

• Degree in Computer Science, Engineering, Data Science or relevant practical experience
• Strong foundation in machine learning theory and algorithms
• Proficient in Python or R, with some exposure to .NET (C#)
• Experience working with messaging systems (e.g., RabbitMQ) and microservices (e.g., gRPC)
• Comfortable working across the ML stack — data wrangling, feature engineering, training, serving, and monitoring
• Familiarity with cloud platforms, containers, and CI/CD practices (nice to have)

What’s on Offer

• Opportunity to define the ML capability in a fast-growing, award-winning tech company
• Greenfield role with full ownership and the freedom to build from the ground up
• Collaborative and values-driven culture solving real-world engineering challenges
• Hybrid work environment based on the Sunshine Coast, with flexibility and autonomy

Apply Now

If you're a driven and innovative software engineer ready to shape how ML operates in a modern industrial environment, apply today. Click “Apply Now” or reach out to Ben Griffiths at the P&C Partners Brisbane office for a confidential discussion.