In-Demand Senior machine learning operations engineer Jobs

Senior Data Scientist - DDAI
Westpac Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
Data, AI, and Machine Learning | Multiple Opportunities Available
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- Azure
- Engineering
- Master's degree
- Parental leave
Principal Data Scientist
Fortescue —Perth WA
- Part-time
- AWS
- Analysis skills
- Machine learning
9d
Staff Data Scientist
Mutinex —Chippendale NSW
- Hybrid work
- Doctoral degree
- Writing skills
- Engineering
Quick Apply
Senior Backend Engineer - Video AI Engine
Canva —Sydney NSW
- Full-time
- Remote
- AWS
- APIs
- AI
Quick Apply
Associate Systems Engineer
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
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Test Lead - Employment Information Kit
ConnectEast —Ringwood VIC
- Part-time
- Azure
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- DevOps
- Employee assistance program
Perception Engineer | Localisation, Sensor Fusion & World Building
Breaker —Sydney NSW
- Full-time
- Machine learning
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Quick Apply
Senior Network Engineer
GPC Asia Pacific (APAC) —Rowville VIC
- Full-time
- Azure
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- Communication skills
- Free parking
- Parental leave
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Senior Cyber Security Engineer
Linde Material Handling Pty. Ltd. —Huntingwood NSW
- Full-time
- Hybrid work
- Azure
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- Master's degree
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- Gym membership
Full Stack Engineer
Sypht —Chippendale NSW
- Computer Science
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- AWS
Quick Apply
Senior Backend Engineer
AutoGrab —South Yarra VIC
- Full-time
- Hybrid work
- AWS
- Machine learning
- Scripting
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Strategic Infrastructure Modernisation Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Perth WA
- Full-time
- AWS
- Machine learning
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Senior/Software Engineer (Backend, Java) - Risk
Binance —Sydney NSW
- Full-time
- Remote
- Master's degree
- SQL
- Analysis skills
Quick Apply
Global Technology Summer Analyst (Core Technology Infrastructure) - 2026/27 - Sydney
Bank of America —Sydney NSW
- Microsoft Excel
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- Master's degree
- On-the-job training
Regional Sales Director (Sydney based)
Delinea —Melbourne VIC
- Full-time
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Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
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- Analytics
- Annual leave
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Principal Data Consultant (Advanced Analytics & AI)
Intelligen Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- AI
Quick Apply
Sr. Systems Development Engineer, Region Services
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Systems design
- AWS
- Software development
Quantitative Analyst - Prediction Markets
Moreton Capital Partners —Australia
- Full-time
- Remote
- Research
- Master's degree
- Bachelor's degree
Quick Apply
11d

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Senior Data Scientist - DDAI

Westpac Group -
Sydney NSW

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Job Details

Full-time

Qualifications

Azure
Law
Computer vision
Master's degree
AWS
Analysis skills
Machine learning
AI
Graph databases

Full Job Description

Sydney, Melbourne or Brisbane Location
Hybrid Working Arrangement

What’s the role?

Join Westpac’s centralised Data, Digital & AI ( DDAI ) team and work hands-on with Generative AI and advanced machine learning to deliver real impact for customers and colleagues across the bank. You’ll design, build, and deploy production-grade AI solutions end-to-end, working on meaningful problems and seeing your work used at scale.

As a Senior Data Scientist, you will be deeply involved in the design, build, and deployment of machine learning and generative AI solutions, working closely with engineers, platform teams, and business stakeholders. You’ll apply strong technical skills to solve complex problems, while ensuring solutions are robust, explainable, and aligned with customer and regulatory expectations.

This role offers the opportunity to contribute directly to the bank’s data and AI agenda by transforming insights into action, improving decision making, optimising operations, and enhancing customer experiences. Your impact will be measured through the quality, adoption, and business outcomes of the solutions you deliver.

What do I need?

Ideally 6+ years of industry experience developing and deploying machine learning models, with a strong track record of delivering data science solutions that are used in production.
Hands-on commercial experience working with Generative AI and Large Language Models (LLMs), including applying these technologies to real business problems.
Solid understanding of modern machine learning techniques, with exposure to deep learning, reinforcement learning, and generative models considered an advantage.
Practical experience developing models using frameworks such as TensorFlow, PyTorch, or Keras.
Strong capability in one or more applied AI domains, such as Natural Language Processing (NLP), LLMs and GenAI, Text analytics and information extraction, Computer vision or multimodal AI including experience with platforms such as OpenAI or Microsoft Cognitive Services.
Experience building GenAI-enabled solutions using frameworks such as LlamaIndex, LangChain, AutoGen, DSPy, or similar.
Familiarity with graph databases and how they can be used in analytical or AI-driven solutions is desirable.
Strong Python programming skills, with experience writing clean, testable, and production-ready code.
Experience working on cloud platforms such as Azure or AWS, including deploying and operating models in enterprise environments.

What you’ll be doing (high impact, end-to-end)

Build, test, and deploy end-to-end machine learning and GenAI solutions, including LLM-powered applications, to address complex business problems.
Take ownership of data science workstreams—from problem definition and data exploration through to model development, validation, and deployment.
Work closely with engineers, platform teams, and stakeholders to ensure solutions are scalable, secure, and production ready.
Apply strong analytical thinking to interpret data, evaluate model performance, and iterate on solutions based on feedback and results.
Communicate insights and model outputs clearly to technical and non-technical audiences to support understanding and adoption.
Contribute to best practices, standards, and reusable assets that improve the efficiency and quality of ML and GenAI delivery.
Act as a go-to technical contributor for ML and GenAI use cases within the Business and Wealth Division.
Mentor junior team members through code reviews, pairing, and technical guidance, promoting high-quality and responsible AI development.
Stay up to date with emerging techniques and tools in data science and AI and share learnings with the broader team.

Our Promise to You

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

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senior machine learning operations engineer jobs

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