In-Demand Intelligence / machine learning engineer Jobs in Sydney, Nsw

AI Engineer
Westpac —Sydney NSW
- Full-time
- Master's degree
- APIs
- AI
Chief Engineer, Westpac Intelligence
Westpac Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Machine learning
- AI
4d
Senior Applied Scientist
NinjaTech AI —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Research
1d
Senior Director, Digital
Alvarez & Marsal —Sydney NSW
- Doctoral degree
- Engineering
- Master's degree
Senior Data Engineer
Blinq —Sydney NSW
- Hybrid work
- SQL
- AWS
- AI
- Annual leave
6d
Regional Sales Manager - Public Sector
Okta —Sydney NSW
- Sales
- Business development
- Bachelor's degree
Sales Engineer
Thought Machine —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Sales
- AWS
- Annual leave
Okta on Okta Principal Identity Engineer
Okta —Sydney NSW
- APIs
- AI
- Leadership
Quick Apply
Solution Engineer
Pax8 Global —Sydney NSW
- Full-time
- Azure
- Sales
- Office
4d
Senior Embedded Linux Software Engineer – Edge AI & IoT
Schréder —Ryde NSW
- Full-time
- Hybrid work
- APIs
- AI
- Communication skills
Quick Apply
12d
Strategic Account Executive
Okta —Sydney NSW
- Sales
- Business development
- Bachelor's degree
6d
Microsoft Fabric Data Support Engineer
Avanade —Sydney NSW
- Microsoft Excel
- Azure
- Computer Science
4d
Enterprise Account Executive
Okta —Sydney NSW
- Sales
- Business development
- Bachelor's degree
11d

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Chief Engineer, Westpac Intelligence
Westpac Group —Sydney NSW
Coach and mentor senior engineers and technical leaders, helping build enterprise engineering capability. Importantly, you will provide end-to-end technical…
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Chief Engineer, Commodities, Trade and Transition
Westpac —Sydney NSW
Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates!
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AI Engineer

Westpac -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

CI/CD
Data modelling
Law
Big data
Git
Master's degree
Docker
APIs
AI

Full Job Description

How will I help?

If you’re a hands-on AI Engineer who loves building, shipping, and scaling real AI products — this is your moment. You’ll work in delivery squads designing, building, and operationalising production-grade AI and GenAI solutions that directly enhance Westpac’s products and services.

It’s an exciting time for AI at Westpac, and you’ll be part of our rapidly growing DDAI (Data, Digital & Artificial Intelligence) team — where ideas move fast and models go live.

This role is for engineers who want to build, deploy, and own AI in production , working side-by-side with data scientists, software engineers, and product managers. To hit the ground running, you will have real-time experience in the AI Engineering space and can demonstrate solid hands-on AI experience beyond experimentation and POCs.

Your responsibilities include:

Designing, building, and deploying machine learning models and GenAI applications that solve genuine business problems.
Working hands-on with large-scale data , from preprocessing through to insights and features.
Building robust data pipelines and APIs (batch, real-time and streaming).
Implementing GenAI solutions using modern frameworks, prompting techniques, RAG patterns, fine-tuning, and evaluation.
Deploying models into production and monitoring performance in the real world.
Collaborating across squads to embed AI into products and services.
Keeping pace with fast-moving advances in GenAI, ML and big data — and applying them where they matter.
Writing clear documentation to support reproducibility, learning and scale.
Troubleshooting model, data, and deployment issues end-to-end.

Key ingredients for success …

A tertiary qualification in Computer Science, Engineering, Mathematics, or a related field.
Hands-on production AI/ML experience including working knowledge of MLOps and AI tooling,
Strong Python skills and deep experience with TensorFlow, PyTorch or scikit-learn.
Demonstrable GenAI/LLM build experience (prompting, agents, RAG, fine-tuning) using frameworks such as LlamaIndex, LangChain, AutoGen, DSPy.
Cloud platform expertise and containerisation ( Docker, Kubernetes )
Strong software engineering fundamentals — Git, CI/CD, clean code.
Experience with big data technologies (Spark, Hadoop or similar), plus experimentation and A/B testing.
A problem-solving mindset, great people skills and a passion for building AI in general.

Why join us?

We’re obsessed with becoming our customers’ #1 banking partner for life — and we’re building the AI capability to make that real.

At Westpac, you’ll find:

Exclusive banking benefits, including employee-only mortgage rates.
Flexible work and additional leave options (Culture, Lifestyle and Wellbeing leave)
Tailored learning and development to help you grow your AI career.
Plenty of opportunities to give back through community and volunteering initiatives.

Does this sound like you?

To apply, select Apply or Apply NOW and submit your CV and cover letter.

We are committed to creating a supportive and inclusive workplace. We welcome applicants of all ages, genders, backgrounds, and abilities, and provide additional support for veterans, Indigenous Australians, and the neurodiverse community.

If you require adjustments during the recruitment process, you can find further information and contact details by visiting the “People with Disability and/or needing Accessibility Requirements” page on our website.

Apply Now

Refine Your Search

intelligence / machine learning engineer jobs in sydney, nsw

AI Engineer

Chief Engineer, Westpac Intelligence

Senior Applied Scientist

Senior Director, Digital

Senior Data Engineer

Regional Sales Manager - Public Sector

Sales Engineer

Okta on Okta Principal Identity Engineer

Solution Engineer

Senior Embedded Linux Software Engineer – Edge AI & IoT

Strategic Account Executive

Microsoft Fabric Data Support Engineer

Enterprise Account Executive

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