Help build the future of industrial AI. For more than 20 years, we've partnered with some of the world's largest mining companies to help them operate more safely, efficiently and sustainably. Today, our enterprise technology monitors more than 40 billion litres of fuel, tracks 107 million tonnes of CO₂ emissions, and is deployed across 300+ sites globally.

We're looking for an experienced Machine Vision Engineer to own and grow our computer vision capability. This isn't a research role where your work sits in a notebook—it goes into production, solving real problems for global customers. If you're excited by LiDAR, 3D computer vision, edge AI and taking ideas from prototype through to production, we'd love to hear from you.

What you'll be doing You'll take ownership of VERIDAPT's machine vision and analytics capability, developing solutions that operate reliably in demanding industrial environments. You'll Design and develop 3D point cloud and LiDAR processing pipelines

Build computer vision models for detection, measurement and segmentation

Train, evaluate and optimise machine learning models for industrial applications

Deploy models to edge hardware and optimise performance

Progress solutions from concept through field trials into production

Evaluate cameras, LiDAR sensors and edge computing hardware

Build reusable tooling, datasets and vision pipelines

Work alongside software, platform and hardware engineers to deliver customer solutions

Travel occasionally to customer sites for captures, commissioning and field trials What we're looking for You'll Likely Bring Experience In Several Of The Following Strong experience with 3D computer vision, LiDAR or depth sensing

Computer vision model development including detection and segmentation

Machine learning model training, evaluation and optimisation

Deploying ML or AI models to edge or embedded devices





Python and modern computer vision libraries

Taking technical ownership and delivering solutions into production

Working independently while collaborating with multidisciplinary engineering teams Nice to have Experience in any of the following would be highly regarded: Mining, industrial automation or IoT

Point cloud processing

Sensor integration and calibration

Camera systems

Edge computing

Robotics or autonomous systems Why this role is different Many machine vision roles stop at proof of concept. This one doesn't. You'll own the entire lifecycle from selecting sensors and collecting field data through to deploying production systems used by some of the world's largest industrial organisations. You'll have the autonomy to influence the technology roadmap, evaluate new approaches and build capability that scales across multiple products.

What we offer Genuine hybrid working (Sydney preferred, remote considered for the right candidate)

Laptop provided

$299 annual wellbeing allowance

2 additional VERI GOOD Days each year to support your wellbeing or volunteer in the community

Additional paid parental leave

Employee Assistance Program including coaching and counselling

Ongoing learning and development opportunities

$3,000 employee referral bonus A cooperative team solving complex engineering problems with real-world impact About VERIDAPT VERIDAPT combines industrial hardware, IoT, cloud software and AI to help customers improve safety, efficiency and sustainability across global supply chains. We're a team of engineers, problem solvers and innovators who enjoy tackling complex challenges and turning them into practical solutions that customers rely on every day. If you're looking for an opportunity where you'll have genuine ownership, see your work deployed in the field, and help shape the future of industrial computer vision we'd love to hear from you.

Apply now.

📌 Machine Vision Engineer (Sydney)
🏢 Best Practice Fuel Management
📍 Sydney