Data AI/ML Engineer Job in Australia 2026 with Visa Sponsorship

March 3, 2026 5:16 am

Data AI/ML Engineer Job in Australia 2026 with Visa Sponsorship

A high-demand Data AI/ML Engineer opportunity is now available in Sydney, Australia for 2026, offering Temporary Skill Shortage (Subclass 482) visa sponsorship for qualified international professionals. This role is positioned within a rapidly scaling Digital Media and Entertainment organisation focused on optimising user experience and content recommendation systems through advanced machine learning.

For experienced ML engineers seeking relocation to Australia, this opportunity provides direct visa support and exposure to large-scale, high-traffic production systems.

About Role

The Data AI/ML Engineer will bridge the gap between data science experimentation and production-grade engineering. You will design and lead the development of scalable MLOps infrastructure, build robust feature pipelines, and deploy machine learning models (such as recommendation engines and predictive systems) into live environments with high user volumes.

This position requires strong expertise in AWS-based cloud architecture, automated data workflows, and real-time model serving. You will collaborate closely with data scientists to convert experimental prototypes into resilient, cost-efficient production solutions while ensuring performance, monitoring, and security best practices across the ML lifecycle.

About Hiring Firm

AI Talent is partnering with an innovative and fast-growing leader in the Digital Media and Entertainment sector. The client organisation leverages advanced AI technologies to enhance user engagement, content discovery, and predictive analytics at scale. The company operates within a high-growth environment focused on cloud-native architecture and continuous ML innovation.

Responsibilities

Design and implement scalable ETL/ELT data pipelines for feature engineering and model training
Lead MLOps deployment using AWS SageMaker and CI/CD frameworks
Build and maintain feature stores and real-time prediction services
Transition experimental ML models into production-ready systems
Implement monitoring for model performance, drift detection, and data quality
Champion DevSecOps and MLOps best practices across the ML platform
Contribute to cloud data and ML infrastructure architecture decisions

Requirements

4+ years of experience in Data Engineering or ML Engineering
Strong Python proficiency with TensorFlow or PyTorch expertise
Mandatory hands-on experience with AWS services (SageMaker, EMR, S3, Lambda)
Deep understanding of MLOps lifecycle, versioning, and monitoring tools
Advanced SQL skills with knowledge of data lakes and warehousing
Experience with Docker and Kubernetes for containerised deployment
Strong communication skills and cross-functional collaboration ability
Eligibility for Subclass 482 visa sponsorship

Click Here to Apply

Conclusion

This position offers structured 482 visa sponsorship, relocation opportunity to Sydney, and the chance to work on cutting-edge recommendation systems in a production-scale environment. For international AI/ML engineers seeking to advance their careers in Australia’s growing technology ecosystem, this role delivers both technical impact and immigration-supported career progression.