ML Engineer (Computer Vision)

ML Engineer (Computer Vision)

Contract Type:

Temp

Location:

Melbourne

Industry:

Contact Name:

Joseph Lee

Contact Email:

joseph.lee@methodrecruitment.com.au

Contact Phone:

0431 900 812

Posted Date:

28-Sep-2026

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.

APPLY NOW

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Contract Type:

Temp

Location:

Industry:

Contact Name:

Joseph Lee

Contact Email:

joseph.lee@methodrecruitment.com.au

Contact Phone:

0431 900 812

Date Published:

28-Sep-2026

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.

APPLY NOW

Posted Date

Location

Sector

Salary

Work Type

28-Sep-2026

Open

Temp

Apply Now

Share this job

Interested in this job?
Save Job

Posted Date:

28-Sep-2026

Location:

Melbourne

Sector:

Technology & Delivery

Salary:

Work Type:

Temp

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.

Share this job

Apply Now

Share this job

Interested in this job?
Save Job
Create As Alert

Similar Jobs

SCHEMA MARKUP ( This text will only show on the editor. )

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.

Share this job

Create As Alert

Similar Jobs

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