Machine Learning Engineer
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Note : Our team will begin reviewing applications after the holidays.
We are oOh!media (pronounced “oh!” media).
oOh!media is the #1 Out of Home company in Australia and New Zealand.
oOh! is a leading operator in Australia and New Zealand’s fast-growing Out Of Home advertising industry and our purpose is to make public spaces better! We create deep engagement between people and brands through Unmissable location-based media solutions that inform, entertain and inspire. Our network is unparalleled, with a diverse portfolio of 37,000 classic and digital signs across roadside, retail, airport and place-based media offering in CBD office towers, cafés, bars and universities.
We are oOh!media, and we are unmissable.
Join us:Join an organisation united by drive, creativity, innovation, and community. We show up every day ready to be bold, brave, and push the boundaries of Out of Home advertising. You’ll work alongside a group of talented individuals across Australia and New Zealand, all of whom are dedicated to raising the bar each and every day. If you’re ready to realise your potential and make an impact, join us.
About the opportunity:- Permanent Full-Time role
- Based in North Sydney
We are looking for a capable and motivated Machine Learning Engineer to support the development, optimisation, deployment, and maintenance of ML pipelines. You will collaborate closely with Data Scientists and Engineers to build scalable, reliable data science solutions that deliver business value.
Key Responsibilities and Experience:- Design & Implementation: Contribute to the design and implementation of data and ML pipelines, ML/MO models, and production deployments.
- Productionising Prototypes: Assist in productionising data science prototypes, applying appropriate ML/optimisation algorithms and frameworks.
- Maintenance: Contribute to improving and maintaining existing machine learning models, libraries, pipelines, and frameworks.
- Data Integration: Work closely with Data Scientists and Engineers to integrate data into the Lakehouse to support ML use cases.
- MLOps: Apply MLOps principles and software engineering best practices to improve reliability, scalability, and maintainability of ML solutions.
- Education: Bachelor’s degree or higher in Computer Science, Data Science, Mathematics, or a related engineering discipline.
- Experience: 2+ years’ experience in a machine learning engineering, data engineering, or data science role, writing production-quality code.
- Technical Skills: Proficient programming skills in Python and SQL.
- Cloud & Tools: Experience with Linux/Unix based systems in cloud environments (AWS, Azure, or GCP) and familiarity with Git and Airflow.
- Nice to have: Experience with Databricks, Spark, and exposure to CI/CD tooling such as GitHub Actions.
- You flex: Flex how and when you need in a flexible capacity to bring your best self to work.
- Best You: Access to internal and external training, structured career paths, and peer mentoring.
- Your leave, your way: Purchase additional annual leave, inclusive paid parental leave, and paid wellbeing days.
- Support You: Partnered with Sonder for 24/7 human-centric wellbeing and care support for you and your immediate family.
- Celebrate You: Active Reward and Recognition Program for peer-to-peer kudos.
At oOh!, we celebrate diversity and strive for an inclusive environment. We welcome applications from all backgrounds, including Aboriginal and Torres Strait Islander peoples, people with disabilities, LGBTQIA+ individuals, and refugees.
Applicants must meet role requirements, which may include criminal background checks, medical/drug testing, and right to work checks.
- Published on 18 Dec 2025, 3:30 PM