Senior ML Engineer: Scale Production Pipelines & MLOps

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

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