In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Software Engineer - Machine Learning
REA Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
6h
Field Data Engineer (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Engineering
- Bachelor's degree
- No degree
Quick Apply
9h
Group Product Manager, Information and Infrastructure Protection
Google —Sydney NSW
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
15h
Staff Engineer
MongoDB —Sydney NSW
- On call
- Hybrid work
- Azure
- AWS
- Communication skills
- Health insurance
- Dental insurance
Staff Engineer, Identity & Access Management
Okta —Sydney NSW
- Hybrid work
- Azure
- Management
- AWS
Quick Apply
Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
5d
Systems Engineer, Region Services
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- AWS
- Scripting
- AI
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- Public speaking
- SQL
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
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
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

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Software Engineer - Machine Learning

REA Group -
Sydney NSW

Apply Now

Job Details

Full-time
6 hours ago

Benefits

Birthday leave
Matched giving program
Parental leave
Paid volunteer leave

Qualifications

Azure
Computer Science
Google Cloud Platform
SQL
AWS
Bachelor's degree
Machine learning
Forecasting
Software development
Cleaning
AI
Business

Full Job Description

Build innovative AI and machine learning products that shape how Australia experiences property.
Join a collaborative team where learning, experimentation and impact go hand in hand.
Permanent role based in Sydney

We're REA
With bold and ambitious goals, REA Group is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.

Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we’re proud to have been named one of Australia’s Best Workplaces four times since 2021 — including third place in 2025 — plus Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025. These listings are testament to every person who helps make REA a great place to work.

Where the team fits in

PropTrack is Australia’s leading source of property insights, digital valuation solutions, and predictive analytics. This role sits within our Data Science & Analytics team, which is responsible for the development, deployment, and operations of internal and customer-facing statistical, machine learning, and AI models. The team collaborates closely with a wide range of groups across the business, including Core Property Data, Mortgage Solutions, Consumer AI, Consumer Product & Experience, Commercial and Mortgage Choice.

What the role is all about

Design, code, test, and deploy machine learning pipelines using Python, SQL, Infrastructure as Code (IaC), AWS, and GCP.

Build innovative AI products using Generative AI, LLMs, and traditional machine learning techniques.

Prototype and spike out Proofs of Concept (POCs) to explore new ideas and evaluate their feasibility in collaboration with senior engineers.

Support data processes - assist with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state our data.

Analyse and produce data coverage and quality statistics across internal and external data sets to provide a high level of awareness across multiple teams.

Following agile software development practices such as test-driven development, continuous delivery and pair programming.

Sharing responsibility for all operational aspects of the software that we build, in support of our “you build it; you run it” philosophy where dev-ops is a part of everyday life.

Learning –we are constantly learning together, mentoring each other and striving to do things better

Who we’re looking for

Our ideal candidate will have a mix of skills in the areas below. Don’t hesitate to apply even if you don’t tick every item:

Programming skills in languages such as SQL, Python, R, C#, or similar. While we’re happy for you to learn specific languages on the job, you must have the ability to code.

A passion for: Machine Learning, Deep Learning / Generative AI, Time Series Analysis & Forecasting, Software Development

In-depth knowledge of the machine learning model lifecycle.

Experience with key ML and hosting libraries, such as XGBoost, LightGBM, Scikit-learn, PyTorch, Keras, HF models, Transformers, FastAPI, or Flask.

Data handling skills, including cleaning, analysing, and interpreting large data sets, and an intuitive sense for identifying when the data is incorrect or inconsistent.

Basic understanding of cloud service providers, like AWS, Azure, or Google Cloud Platform, including their core services, tools, and general applications in a business context.

Ability to communicate and collaborate effectively with business stakeholders.

Bachelors in Computer Science, Mathematics, Statistics, or a similar discipline.

The REA experience

The physical, mental, emotional and financial health of our people is something we’ll never stop caring about. This is a place to learn and grow.

Some of our Perks & Benefits include:

A hybrid and flexible approach to working
Flexible leave options including, birthday leave and purchase additional leave
Flexible parental leave offering for primary and secondary carers
Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
Hackdays so you can bring your big ideas to life

Our commitment to Diversity, Equity, and Inclusion

We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more eﬀective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.

Join our Talent Neighbourhood

Keen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right? You should join our Talent Neighbourhood!

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Apply Now

Refine Your Search

machine learning engineer jobs in parramatta, nsw

Software Engineer - Machine Learning

Field Data Engineer (AU)

Group Product Manager, Information and Infrastructure Protection

Staff Engineer

Staff Engineer, Identity & Access Management

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Systems Engineer, Region Services

Specialist SA, Developer Transformation

Senior Gemini Platform Engineer

Artificial Intelligence - Architect

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

Sr Security Engineer, Region Services

Senior Consultant - Data & Analytics (Open)

Senior Azure Cloud Customer Experience Engineer - Japanese Speaking

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