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ML Engineer (Computer Vision)

Method RecruitmentMelbourne, Victoria🇦🇺AustraliaPosted 1 Oct 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Melbourne, Victoria, Australia
AWSMLOpsMachine LearningOpenCVComputer VisionDeep LearningPyTorchPythonTensorFlow

Job Description

Machine Learning Engineer - Computer Vision

6-month initial contract Melbourne Hybrid

We are looking for an experienced Machine Learning Engineer to join a Melbourne-based organisation delivering production-grade AI and computer vision solutions.

This is a hands-on engineering role for someone who has experience taking machine learning and computer vision models beyond experimentation and into real-world production environments.

The role

You will work across the development, deployment and optimisation of machine learning solutions, with a particular focus on computer vision.

You will be involved across the ML lifecycle - from data preparation and model development through to deployment, monitoring and ongoing improvement.

What you will be doing
  • Design, build and optimise machine learning and computer vision models
  • Develop solutions across areas such as image classification, object detection, segmentation and/or video analytics
  • Build production-quality ML applications and services using Python
  • Deploy and operate ML workloads within AWS
  • Develop scalable data and inference pipelines
  • Evaluate model performance and improve accuracy, reliability and efficiency
  • Work with engineering and business stakeholders to translate real-world problems into practical ML solutions
  • Contribute to MLOps, automated deployment, monitoring and model lifecycle management
What we are looking for

You will bring strong commercial experience as a Machine Learning Engineer, Computer Vision Engineer or similar, including:

  • Strong hands-on Python development skills
  • Commercial experience developing computer vision solutions
  • Strong understanding of machine learning and deep learning fundamentals
  • Experience with frameworks such as PyTorch, TensorFlow and/or OpenCV
  • Experience deploying ML solutions into AWS cloud environments
  • Understanding of production ML/MLOps practices
  • Experience building scalable, maintainable and well-tested production code
  • Strong problem-solving and communication skills

Experience with AWS services used for machine learning, containerisation, CI/CD and production model deployment will be highly regarded.

The opportunity

This is an initial 6-month contract with a Melbourne-based team offering a hybrid working arrangement.

You will have the opportunity to work on genuine computer vision problems where machine learning is being applied to real-world use cases rather than purely proof-of-concept work.

If you are a Machine Learning Engineer with strong Computer Vision, Python and AWS experience, apply now or get in touch for a confidential discussion.

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