In-Demand Machine learning engineer Jobs in University Of Queensland Qld

Artificial Intelligence / Machine Learning Engineer
Amentum —Brisbane QLD
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machine learning engineer jobs near university of queensland qld

Artificial Intelligence / Machine Learning Engineer

Amentum -
Brisbane QLD

Apply Now

Job Details

Full-time
8 days ago

Qualifications

Jira
CI/CD
MATLAB
Azure
Computer Science
Computer vision
Deployment
Configuration management
Git
SQL
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Confluence
Simulink
Systems engineering
AI
Communication skills

Full Job Description

Amentum is a leader in global engineering, project management and solutions integration, trusted to modernise the most critical missions anywhere in the world. Driven to create a safer, smarter, cleaner world, we innovate as a team of inventive doers passionate about making a difference. Underpinned by a strong culture of ethics, safety and inclusivity. Amentum is fiercely committed to operational excellence and successful execution.

Are you seeking a career that offers a healthy work-life balance, a friendly company culture, and engagement with a supportive community? We’ll inspire and empower you to deliver your best work so you can evolve, grow and succeed – today and into tomorrow. We offer an exciting range of opportunities to develop your career within a supportive and diverse team who always strive to do the right thing for our people, clients and communities.

People are our greatest asset, and we offer a competitive package to retain and attract the best talent.

Our values stand on a foundation of safety, integrity, inclusion and diversity. We put people at the heart of our business, and we genuinely believe that we all succeed by supporting one another through our culture of caring. We value positive mental health and a sense of belonging for all employees.

Amentum is proud to be an Equal Opportunity Employer, please refer to our Enterprise Agreement and www.fairwork.gov.au for more information

Role Description:

UASPO requires the support of an Artificial Intelligence/Machine Learning (AI/ML) subject matter expert to support both the AUSLIST program and ASCA Precision Loitering Munitions (PLM) missions.

Key responsibilities:

Support the development of AI/ML requirements,
Represent the client at AI/ML related Defence activities (conferences and working groups) and
Develop AI/ML policy for the certification to support future UAS projects within the client's program of work including RAS at Scale Delivery Model.

Essential Requirements:

Bachelor Degree in Computer Science (AI/ML) or similar
Demonstrated experience developing machine learning models using Python and common AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenCV, or similar.
Experience working with complex datasets, including imagery, video, sensor data, telemetry, time-series data, simulation data, or engineering data.
Strong understanding of machine learning model development, validation, testing, deployment, and performance monitoring.
Experience with software engineering practices, including version control, code review, automated testing, documentation, and agile delivery.
Ability to work in multidisciplinary engineering environments involving systems, software, data, hardware, operations, and test teams.
Strong analytical, problem-solving, communication, and stakeholder engagement skills.
Ability to work within secure, regulated, or safety-critical environments.
Eligibility to obtain and maintain an appropriate security clearance

Desirable Requirements:

Experience in UAS, autonomous systems, loitering munitions, aerospace, defence, robotics, electronic systems, mission systems, or weapons systems programs.
Experience with computer vision, sensor fusion, edge AI, embedded AI, geospatial analytics, autonomy assurance, simulation environments, or real-time data processing.
Experience with MLOps tools and platforms such as MLflow, Kubeflow, Docker, Kubernetes, Git, CI/CD pipelines, model registries, or cloud-based AI/ML services.
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Experience supporting test and evaluation, verification and validation, trials, operational analysis, or safety assurance activities.
Knowledge of systems engineering, model-based systems engineering, digital engineering, requirements management, configuration management, and technical governance.
Understanding of defence security, export controls, ITAR/EAR, cyber security, safety management, human-in-the-loop systems, and responsible AI principles.
Experience with tools such as MATLAB, Simulink, ROS, C++, CUDA, SQL, Databricks, Palantir, Teamcenter, Cameo, DOORS, Jira, Confluence, or similar.

Required Security Clearance Level: NV1

Location: Brisbane or Canberra

Hours: 80hr per fortnight, as agreed with client.

Apply Now

Refine Your Search

machine learning engineer jobs in university of queensland qld

Artificial Intelligence / Machine Learning Engineer

Machine Learning Engineer - South Bank, QLD

Senior/Principal Machine Learning Engineer - Aus

Graduate Geotechnical Engineer/Engineering Geologist

Senior Data Engineer

Machine Operator/Warehouse Assistant - Coopers Plains

Google Data Engineer - GCP

Data Scientist, Applied Science

Senior Robotics Engineer - Universal Field Robots

Graduate Engineer - Digital - Brisbane (2027)

Senior Data Engineer

Senior Solution Architect

Robotics Software Engineer

Senior Gemini Platform Engineer

LLM Applied Data Scientist (RAG/ NLP)

Senior Embedded system Engineer - AI

Senior Cloud Solution Architect

Service Delivery Manager

Senior/Software Engineer (Backend, Java) - Risk

Talent Acquisition Specialist

I want to receive the latest job alert for machine learning engineer in university of queensland qld

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