In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Computer Vision Engineer - VisionAI (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Computer science
- Computer Science
- Engineering
Quick Apply
11d
Associate Data Scientist
Culture Amp —Sydney NSW
- Master's degree
- SQL
- Machine learning
- Health insurance
- Parental leave
Engineering Manager - Machine Learning (AI Products)
Xero —Sydney NSW
- Full-time
- Hybrid work
- Machine learning
- AI
- SDLC
10d
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Solution Engineer
Pax8 Global —Sydney NSW
- Full-time
- Azure
- Sales
- Office
Engineering Manager, Technical Lead, Google Photos
Google —Sydney NSW
- Full-time
- Management
- Doctoral degree
- Computer Science
Machine Learning Engineer / Data Scientist
The Argyle Network —Sydney NSW
- $150,000 a year
- Full-time
- SQL
- AWS
- AI
Field Data Engineer (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Engineering
- Bachelor's degree
- No degree
Quick Apply
4d
Senior AI Models Engineer
Heidi —Sydney NSW
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
- Work from home
- Parental leave
8d
Director of Engineering
Freelancer.com —Sydney NSW
- $180,000 - $220,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Writing skills
Quick Apply
Lead Architect - Oceania Tax Technology - CTO Tax Office
EY —Sydney NSW
- $150,000 - $250,000 a year
- Azure
- Machine learning
- Recruiting
- Parental leave
GCP Data & AI/MLOps Engineer
Showtime Consulting —Sydney NSW
- Full-time
- DevOps
- Analysis skills
- Machine learning
Quick Apply
Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Data Scientist, Network Fabric Engineering
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Laboratory
- Data analysis skills
- SQL
Forward Deployed Engineer and FDE Lead - Anthropic
Deloitte —Sydney NSW
- Azure
- AWS
- APIs
- Parental leave
Senior AI Engineer - Data Scientist (Sydney/Melbourne)
Capgemini —Sydney NSW
- Computer Science
- Data analysis skills
- Master's degree
13d
AI/ML Computational Scientist
Accenture —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Director, Product - Engineering Simulation
Neara —Sydney NSW
- Full-time
- Hybrid work
- CAD
- Product management
Field Service Engineer
Smiths Detection —Sydney NSW
- Full-time
- Customer service
- Maintenance
- Microsoft Office
Quick Apply
2d
Senior Applied Scientist
NinjaTech AI —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Research

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Computer Vision Engineer - VisionAI (AU)

DroneShield Limited
Sydney NSW

Quick Apply

Job Details

Full-time
11 days ago

Qualifications

Computer science
Optical experience
Go
Computer Science
Computer vision
Engineering
Git
Bachelor's degree
Version control systems
Unit testing
AI
GitLab

Full Job Description

Work with cutting edge AI technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some of world’s most challenging technical problems in the rapidly growing counter-drone sector.

Our customers operate in some of the most challenging and high-stakes environments in the world, including military organisations, government agencies, airports, critical infrastructure operators, and law enforcement. Protecting airspace in these settings requires technology that performs under pressure and teams that understand what’s at stake. At DroneShield, employees work at the leading edge of counter-drone innovation, helping to address real-world security challenges as drone threats continue to evolve globally.

With one of the largest listed defence company market capitalisations in Australia, now part of the ASX200 index, DroneShield is experiencing a period of hypergrowth. Revenue has surged from A$57 million in 2024 to over A$217 million in 2025, representing record profitability and cashflow. The total addressable global market for counter-drone is assessed at approximately $100 billion, and is currently at the nascent stage with much of the growth still to come, with DroneShield well positioned as a global market leader, and the only public listed pure-play business in this sector.

The company has grown from 11 employees in 2017 to over 450 staff globally today. This expansion includes investment of over A$50 million annually in R&D, a global pipeline exceeding A$2.5 billion, and continuous scaling of production capacity to meet accelerating demand.

The role is based at DroneShield’s central Sydney headquarters. Overseas on-the-ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries worldwide.

About the role

You will be at the forefront of advancing our computer vision capabilities by integrating cameras and algorithms to build our next-generation AI-powered detection, identification, and tracking optical systems.

You’ll collaborate closely with system engineers, machine learning engineers, and product teams to ensure our product is performant, reliable, and optimised for real-world defence applications. This position offers the opportunity to work on unique, mission-critical challenges where your contributions directly impact global security outcomes.

Responsibilities, Duties and Expectations

Design, implement, benchmark, and optimise computer vision algorithms to enhance detection, classification, and tracking capabilities
Develop and adapt software interfaces to support the integration of new camera models and configurations.
Collaborate with cross-functional teams to define technical requirements and ensure seamless integration of computer vision solutions

Qualifications, Experience and Skills

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
More than 3 years of experience in software engineering
Proficiency in C++ development, including multi-threading, unit testing, benchmarking, and profiling
Experience programming in Python is required, and familiarity with Golang is preferred
Experience with computer vision libraries (e.g. OpenCV) or integrating AI models (e.g. ONNX, TensorRT)
Experience integrating cameras or similar sensors (e.g., LiDAR, thermal cameras)
Experience programming control algorithms for electromechanical systems is preferred
Experience with edge computing or embedded systems for real-time applications (e.g. NVIDIA GPUs, CUDA, GStreamer)
Experience modelling dynamic systems with mathematical representations using first-principles and system identification techniques is preferred
Knowledge of object tracking algorithms (e.g., Kalman filters, optical flow) and/or control theory is preferred
Experience with version control systems (e.g., Git) and workflow automation tools (e.g. GitLab CI, ClearML)
Previous ‘start-up’ or ‘scale-up’ experience is preferred
Strong problem-solving skills, attention to data quality, and effective cross-team communication
An abundance of ambition and motivation to grow the company and compete with the big players in the industry

Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.

#729

Quick Apply

Refine Your Search

machine learning engineer jobs in parramatta, nsw

Computer Vision Engineer - VisionAI (AU)

Associate Data Scientist

Engineering Manager - Machine Learning (AI Products)

Machine Learning Engineer - Capital Investment - Data & AI - Sydney

Solution Engineer

Engineering Manager, Technical Lead, Google Photos

Machine Learning Engineer / Data Scientist

Field Data Engineer (AU)

Senior AI Models Engineer

Director of Engineering

Lead Architect - Oceania Tax Technology - CTO Tax Office

GCP Data & AI/MLOps Engineer

Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)

Data Scientist, Network Fabric Engineering

Forward Deployed Engineer and FDE Lead - Anthropic

Senior AI Engineer - Data Scientist (Sydney/Melbourne)

AI/ML Computational Scientist

Director, Product - Engineering Simulation

Field Service Engineer

Senior Applied Scientist

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