Connecting AI talent with high‑impact projects in Australia

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If you’re an experienced AI professional with deep experience in Machine learning, Data science, AI development and products— you’re in the right place. AI Outsourced connects exceptional AI Talent with strategic and transformation projects at leading institutions and consultancies firms across Australia. 

 We are seeking a highly skilled AI Engineer to join a major, multi‑year transformation program in Australia. This role is ideal for someone who thrives in complex environments, enjoys solving large‑scale data and automation challenges, and can translate cutting‑edge AI capabilities into robust, production‑ready solutions. You’ll work within a cross‑functional team of engineers, data scientists, architects, and domain experts to design and deploy AI systems that deliver measurable impact at national scale. 

• Build, optimise, and deploy machine learning and generative AI models for large‑scale, high‑availability environments.
• Develop end‑to‑end AI pipelines, including data ingestion, feature engineering, model training, evaluation, and monitoring.
• Implement scalable architectures using cloud‑native services (Azure, AWS, or GCP) and modern MLOps practices.
• Integrate AI models into enterprise systems, APIs, and user‑facing applications. 

As an experienced Lead Machine Learning Engineer, you will guide the design, development, and deployment of advanced ML systems across a large‑scale Australian program. This role blends deep technical expertise with leadership, architecture, and delivery oversight. You’ll mentor engineering teams, shape ML strategy, and ensure that models move from experimentation to production with reliability, scalability, and measurable business impact.

• Define the ML engineering strategy, architecture, and best practices for large‑scale, production‑grade systems.
• Lead the design of end‑to‑end ML pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Oversee the implementation of MLOps frameworks to ensure reproducibility, automation, and continuous delivery of ML models.
• Evaluate and select appropriate tools, frameworks, and cloud services (Azure, AWS, GCP) for enterprise‑level ML workloads. In today's digital age, having an online store is essential for any business. Our e-commerce solutions will help you build a robust online store that drives sales and revenue. We will help you choose the right platform, design your store, and optimize it for conversions.

We are seeking a highly capable Data Scientist to join a growing analytics and AI team supporting large‑scale project. In this role, you’ll transform complex datasets into actionable insights, build predictive and statistical models, and partner with business and engineering teams to deliver data‑driven solutions that create measurable impact. This position suits someone who enjoys solving ambiguous problems, working with diverse datasets, and contributing to high‑value digital transformation programs.

• Develop predictive models, statistical analyses, and machine learning solutions to support business decision‑making.
• Explore, clean, and transform large structured and unstructured datasets.
• Conduct hypothesis testing, feature engineering, and model evaluation using best‑practice methodologies.
• Build dashboards, reports, and visualisations to communicate insights clearly and effectively.Digital transformation is no longer a nice-to-have, it's a necessity for any business that wants to stay competitive. Our digital transformation experts will help you modernize your processes and systems, adopt new technologies, and create a culture of innovation. We will help you future-proof your business.