Machine Learning Engineer

Mane; Sydney; On-site; AUD 170,000 - 210,000; Full time

Job summary

Mane Consulting is seeking a Senior Machine Learning Engineer in Sydney to help build production-grade ML pipelines powering marketing programs. You will work with business, marketing, and data science teams to design, test, and deploy scalable solutions that sit at the core of our marketing technology stack.

Join a diverse team of data engineers, data scientists, and product managers to transform AI across the business and drive growth from e-commerce to supply chain optimization, while

Qualifications

• 6+ years delivering complex ML systems and production pipelines.
• Experience designing end-to-end pipelines and scalable ML services.
• Proficiency with Python and modern MLOps tools.
• Experience with cloud platforms such as GCP or AWS.

Responsibilities

• Partner with data scientists to transform prototypes into production ML services integrated across marketing platforms.
• Design, automate, and maintain data and model pipelines with observability and scale.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Advance MLOps standards, tooling, and best practices.

Skills

Python

ML Pipelines

Kubeflow

MLflow

Airflow

Deep Learning

Embeddings

Clustering

Predictive Modelling

Docker

Kubernetes

Cloud Platforms (GCP/AWS)

Tools

Kubeflow

MLflow

Airflow

Job description

As a Senior Machine Learning Engineer, you9ll play a central role in building and automating production?level machine learning pipelines that power our marketing programs at On. You9ll work closely with business, marketing, and data science teams to design, test, and deploy scalable, reliable solutions that sit at the core of our marketing technology stack. You9ll be joining a growing, diverse team of data engineers, data scientists, and product managers who are passionate about transforming how we use AI and ML across the business-developing innovative systems that enhance customer experiences, optimise internal processes, and drive growth across areas ranging from e?commerce to supply chain optimisation.
In the dynamic landscape of On Data, Machine Learning and AI play a crucial role in accelerating our business growth and operations. We are enhancing our technology landscape to fuel the growth of On, helping to ignite the human spirit through movement.

What you9ll do;

• Partner with data scientists to transform prototypes into robust, high?performing machine learning services integrated across our marketing platforms-from email and advertising to app?based engagement.
• Design, automate, and maintain data and model pipelines that are resilient, observable, and built for scale. Develop MLOps frameworks that monitor performance, trigger alerts, and ensure models remain accurate and available.
• Collaborate with cross?functional teams to understand business needs and translate them into technical solutions. Contribute to the evolution of our MLOps standards, tooling, and best practices.
• Help elevate engineering quality, documentation, and operational discipline across the ML lifecycle.

What you bring;

• 6+ years delivering complex ML systems, with hands?on experience designing end?to?end pipelines using tools such as Kubeflow, MLflow, or Airflow. Strong Python engineering skills.
• Solid grounding in deep learning, embeddings, clustering, and predictive modelling, with a track record of applying these techniques in production.
• Comfort working with modern AI/ML platforms and components-Vertex AI, Docker, Kubernetes, or similar.
• Experience deploying and operating ML workloads on cloud environments such as GCP or AWS.

Mane Consulting specialise in Data & Analytics. For more information on this role or others like this in the market apply below or contact Mark.cornwel-smith @mane.com.au