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 collaborative 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 prospect 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.
#J-*****-Ljbffr

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