In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Senior AI Engineer (AI Innovation Office)
Westpac —Sydney NSW
- Full-time
- Hybrid work
- Management
- Master's degree
- Machine learning
2d
Senior Manager Data Science & AI Global Markets
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
- Machine learning
- AI
2d
Software Engineer - Machine Learning
News Corp —Sydney NSW
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
2d
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- Public speaking
- SQL
Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
9d
Senior Gemini Platform Engineer
Accenture —Sydney NSW
- Full-time
- Management
- ERP systems
- SQL
Artificial Intelligence - Architect
Infosys Singapore & Australia —Sydney NSW
- $800 - $950 a day
- Contract
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick Apply
Senior Associate, Data Science & AI Solutions Global Markets
Commonwealth Bank —Sydney NSW
- Full-time
- Azure
- Engineering
- Finance
2d
Professional Services Public Sector Presales Cloud Architect, AWS Professional Services ANZ
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- DevOps
- AWS
- AI
Senior Manager, Data Analytics and AI Consulting
EPAM Systems, Inc. —Sydney NSW
- Azure
- SQL
- AWS
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
Azure Cloud Customer Experience Engineer 2
Microsoft —Sydney NSW
- Full-time
- Azure
- Management
- Computer Science
4d
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
Senior Azure Cloud Customer Experience Engineer - Japanese Speaking
Microsoft —Sydney NSW
- Full-time
- Azure
- Management
- Computer Science
Field Service Engineer
Smiths Detection —Sydney NSW
- Full-time
- Customer service
- Maintenance
- Microsoft Office
Quick Apply
1d
Lead AI Engineer
Bridgit —Sydney NSW
- Remote
- Machine learning
- Construction experience
- AI
- Annual leave
1d

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machine learning engineer jobs near parramatta, nsw

Senior AI Engineer (AI Innovation Office)

Westpac -
Sydney NSW

Apply Now

Job Details

Full-time
2 days ago

Qualifications

CI/CD
Management
Law
Moving
Master's degree
Machine learning
APIs
AI
Communication skills

Full Job Description

Sydney Location / Hybrid Working
Senior AI Engineering SME Opportunity

What is the opportunity?

Westpac is accelerating the future of banking through responsible, human-centred AI — and we’re looking for outstanding Senior AI Engineer who can turn bold ideas into secure, scalable, production-grade solutions.

You’ll complement the Westpac Chief AI Innovation Office within our Data, Digital & AI (DDAI) function — a team shaping how advanced analytics, digital platforms and AI are engineered, governed and scaled across a large, complex enterprise.

Role Purpose

This is a hands-on engineering role for someone who has built real AI systems in demanding corporate environments — not just prototypes, proofs of concept or theory. You’ll design, build, test, harden and operate AI capabilities that are safe, reliable and ready for enterprise-scale use.

You’ll bring deep AI technical credibility, strong software engineering discipline and the confidence to make smart trade-offs in fluid, high-stakes environments. You’ll help lift engineering standards, guide others and ensure AI is delivered responsibly from concept through to production.

Key responsibilities

Design, build and ship complex AI platforms, services and products that solve real business problems at scale.
Engineer robust LLM, RAG, agentic and orchestration solutions with strong attention to reliability, evaluation, observability and governance.
Take AI capabilities from experimentation into production, including testing, deployment, monitoring, incident response and continuous improvement.
Set and lift engineering standards across prompt management, model evaluation, security, privacy, compliance and responsible AI guardrails.
Make practical trade-offs across model quality, latency, cost, risk and customer impact in complex and rapidly evolving delivery environments.
Partner closely with product, platform, data, risk, security and business stakeholders to scale AI safely and sustainably.
Review designs and code, mentor engineers and help create reusable production patterns for AI delivery.
Lead technical investigations, root-cause analysis and durable fixes for AI system issues.

Essential Ingredients

Outstanding hands-on AI engineering experience gained in complex, fast-moving corporate or enterprise environments.
Proven production delivery experience across AI, machine learning or LLM-enabled systems — with evidence of systems that have been deployed, governed and operated at scale.
Strong software engineering foundations, including Python, APIs, cloud services, distributed systems, CI/CD and modern engineering practices.
Deep practical experience with LLMs, RAG patterns, embeddings, agents, evaluation frameworks, orchestration, model lifecycle management and monitoring.
Experience building responsible AI guardrails across safety, privacy, compliance, explainability, reliability and operational risk.
Ability to influence technical direction, shape engineering standards and bring stakeholders with you through ambiguity and change.
Clear, confident communication skills with engineers, product teams, delivery leaders, risk partners and senior stakeholders.

What your success has looked like to date …

AI solutions move beyond prototypes and become trusted, secure and production-ready enterprise capabilities.
Engineering patterns are clear, reusable and adopted across teams.
AI risks are designed out early through strong architecture, governance and operating discipline.
Systems are observable, resilient and continuously improved based on real usage, feedback and performance data.
Engineers around you grow through practical mentoring, strong technical example and thoughtful design review.
Stakeholders trust the AI engineering function to deliver safely, quickly and with commercial impact.

Why join us?

We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country.

Here are just a few of the ways we’re already doing that:

Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates!
Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave.
Tailored learning and development opportunities to help grow your career within the bank.
Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives.

Create your future today!

To get started, simply click on the APPLY or APPLY NOW button.

We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community.

If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website .

Apply Now

Refine Your Search

machine learning engineer jobs in parramatta, nsw

Senior AI Engineer (AI Innovation Office)

Senior Manager Data Science & AI Global Markets

Software Engineer - Machine Learning

Specialist SA, Developer Transformation

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Senior Gemini Platform Engineer

Artificial Intelligence - Architect

Senior Associate, Data Science & AI Solutions Global Markets

Professional Services Public Sector Presales Cloud Architect, AWS Professional Services ANZ

Senior Manager, Data Analytics and AI Consulting

Site Reliability Engineer, AML Platform - USDS

Senior Data Analytics /BI Lead

Azure Cloud Customer Experience Engineer 2

Sr Security Engineer, Region Services

Senior Consultant - Data & Analytics (Open)

Senior Azure Cloud Customer Experience Engineer - Japanese Speaking

Field Service Engineer

Lead AI Engineer

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