Software Engineer - Machine Learning

Sydney, NSW

Live, first seen by us 69 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Design, code, test and deploy machine learning pipelines
Build AI products using generative AI, LLMs and traditional ML
Prototype proofs of concept with senior engineers
Build dashboards and reporting tools and analyse data quality
Share operational responsibility for the software you build

From the employer’s posting

Design, code, test, and deploy machine learning pipelines

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

Analyse and produce data coverage and quality statistics

Sharing responsibility for all operational aspects of the software that we build

What you’ll bring

All qualifications

Core experience

Ability to code in Python, SQL, R, C# or similar
In-depth knowledge of the machine learning model lifecycle
Experience with ML libraries such as PyTorch, Scikit-learn or XGBoost
Data handling skills for cleaning and interpreting large data sets
Basic understanding of AWS, Azure or Google Cloud Platform

Qualification wording

Programming skills in languages such as SQL, Python, R, C#, or similar.

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

Basic understanding of cloud service providers, like AWS, Azure, or Google Cloud Platform

Apply at REA Group

Posting record

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Status in our records: Live
First seen by us: Aug 28, 202669 days ago
Recorded sightings: 74
Last seen by us: Nov 5, 2026
Employer says posted: Aug 26, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 69

Similar jobs usually come down between day 6 and day 70.

At REA Group, jobs usually come down by about day 41.

From 4,452 similar postings that came down, and 8 of REA Group’s. Coming down is not always a hire.

REA Group is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

C#
Python
R
SQL
AWS
Azure
GCP
FastAPI
Flask
Keras
LightGBM
PyTorch
scikit-learn
XGBoost

Where the posting names them

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

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.

- 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.

- 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.

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Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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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