In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Principal AI Scientist
NAB —Sydney NSW
- Full-time
- AI
- Communication skills
12h
Site Reliability Engineer, AML Platform - USDS
TikTok USDS JV —Sydney NSW
- On call
- Hybrid work
- Computer science
- Computer Science
- Master's degree
Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home
Sr Security Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- AWS
- Scripting
- AI
- Health insurance
- Employee assistance program
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Engineering Manager - (ML) - Evaluation Platform
Canva —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
- Parental leave
Quick Apply
7h
Software Engineer - Machine Learning
REA Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
7h
Field Data Engineer (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Engineering
- Bachelor's degree
- No degree
Quick Apply
10h
Software Engineer - API
Nuix —Sydney NSW
- Hybrid work
- Management
- Computer Science
- No degree
7h

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Principal AI Scientist

NAB -
Sydney NSW

Apply Now

Job Details

Permanent | Full-time
12 hours ago

Qualifications

Natural language processing
AI
Communication skills

Full Job Description

Principal AI Scientist

807983

NSW- Sydney CBD
VIC- Melbourne CBD

Banking & Financial Services

Permanent Full time

Opening at: Aug 26 2026 - 06:00 AEST
Closing at: Sep 29 2026 - 23:55 AEST

Design and architect scalable AI solutions
Solve high-value, real-world challenges
Own technical problem-solving end-to-end

We’re looking for a Principal AI Scientist to lead the design, development and deployment of advanced AI solutions that deliver meaningful business impact.

This is a senior technical role within our AI capability. You will have the opportunity to own end-to-end solution design and guide teams to deliver high-quality, production-grade AI outcomes.

Our people are customer obsessed. They prioritise the needs and satisfaction of the customer above all else. Our mindset fosters innovation and creates strong, lasting customer relationships as we strive to be the most customer centric company in Australia and New Zealand.

In the role of Principal AI Scientist, bridge the gap between cutting-edge AI capability and real-world application, setting the standard for how we build, deploy and embed AI across the enterprise.

Key Responsibilities

Lead the end-to-end solution design of agentic and broader AI systems, from problem framing through to deployment and scaling
Translate complex business problems into robust, scalable AI architectures and models
Provide technical leadership and mentorship to AI scientists and engineers, uplifting overall capability
Partner closely with stakeholders across business and technology to ensure solutions are aligned to strategic outcomes
Oversee and contribute to solution development, validation, and optimisation across areas such as machine learning, generative and agentic AI
Ensure solutions meet enterprise standards for governance, risk, and responsible AI
Drive best practice in experimentation, reproducibility, and model lifecycle management
Influence AI strategy and roadmap, identifying emerging opportunities and innovation pathways

What You Bring

Deep experience in AI/ML solution design and delivery in enterprise environments, including experience in agentic and generative AI
Proven ability to architect and deploy production-grade AI systems at scale
Expertise in relevant technical domains (e.g. machine learning, deep learning, recommendation systems, NLP, or GenAI)
Advanced programming skills in Python and experience with agentic and generative AI frameworks
Demonstrated experience mentoring and guiding high-performing technical teams
Strong communication and stakeholder engagement skills, with the ability to translate technical concepts into business value
Experience navigating model governance, risk, and responsible AI frameworks

Why This Role Matters

AI is a critical enabler of our strategic ambitions, from enhancing customer experiences to improving operational efficiency and decision-making at scale.

As a Principal AI Scientist, you will play a pivotal role in shaping how AI is designed, governed and delivered across the organisation. Your work will directly influence high-impact initiatives, ensuring solutions are not only technically sound, but scalable, responsible and aligned to business outcomes.

A diverse and inclusive workplace works better for everyone

We know that our people make us who we are. That's why we have built a culture of equity and respect – where everyone feels valued and appreciated for being their authentic selves. In partnership with our multiple Employee Resource Groups (ERGs) we continue to foster an inclusive environment, where all NAB colleagues’ unique backgrounds and identities are understood, respected and celebrated. We are committed to providing an environment where you can work your way.

For details on the recruitment process, and accessibility, please visit https://www.nab.com.au/about-us/careers/apply-for-job. To discuss adjustment requirements, please contact the NAB Careers team, via [email protected] (please reference job number) or visit our Careers page through the link above for other contact options.

Join NAB

If you think this role is the right fit for you, we would love to hear from you. Please note candidate screening and interviews may be conducted prior to the closing date of the job advert. Unsolicited CVs from agencies will not be accepted.

“#LI-DNI”

Apply Now

Refine Your Search

machine learning engineer jobs in parramatta, nsw

Principal AI Scientist

Site Reliability Engineer, AML Platform - USDS

Senior Data Analytics /BI Lead

Sr Security Engineer, Region Services

Senior Consultant - Data & Analytics (Open)

Engineering Manager - (ML) - Evaluation Platform

Software Engineer - Machine Learning

Field Data Engineer (AU)

Software Engineer - API

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