1 Senior Machine Learning Engineer Lh-07726

M&T Resources; Canberra; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid working arrangements

Long-term contract

Collaborative engineering environment

Job summary

M&T Resources is seeking a Senior Machine Learning Engineer to join a high-performing team delivering cutting-edge AI, ML, and automation capabilities. This role spans the full AI lifecycle—from PoC to production—within a cloud-first environment and a hybrid working setup.

You will design, build, and deploy ML/AI solutions, implement MLOps practices, and collaborate with engineers and stakeholders to deliver scalable outcomes. Hands-on PyTorch, NLP, and transformer experience are essential.

Qualifications

• Extensive production ML experience across the full AI lifecycle.
• Hands-on PyTorch, NLP and transformer models experience.
• Strong MLOps, monitoring and cloud deployment expertise.

Responsibilities

• Design, build and deploy ML/AI solutions in production.
• Develop and optimise NLP, LLM and transformer-based apps.
• Build and maintain computer vision and deep learning models.
• Contribute to experimentation, prototyping and PoC activities.
• Implement and support MLOps, model monitoring and CI/CD.

Skills

PyTorch

NLP

Transformer models

scikit-learn

Pandas

SQL

MLOps

Cloud (AWS)

Agile

Stakeholder engagement

Education

ICT qualifications and industry certifications

Tools

MLflow

AWS CDK

CI/CD

Python

Version control

Job description

• 12 Month Contract + 2 x 12 Month Extensions
• Hybrid Working Arrangements

Senior Machine Learning Engineer

We are seeking an experienced Senior Machine Learning Engineer to join a high-performing team delivering cutting-edge AI, machine learning and automation capabilities. This role will see you work across the full AI lifecycle, from proof of concept through to production deployment, helping shape scalable and sustainable AI solutions in a cloud-first environment.
Key Responsibilities

• Design, build and deploy machine learning and AI solutions in production environments.
• Develop and optimise NLP, LLM and transformer-based applications.
• Build and maintain computer vision and deep learning models.
• Contribute to AI experimentation, prototyping and proof-of-concept activities.
• Implement and support MLOps practices, model monitoring and continuous improvement.
• Collaborate with software engineers, architects and business stakeholders to deliver outcomes.
• Produce high-quality technical documentation and contribute to knowledge sharing across teams.
• Support delivery of cloud-native and serverless solutions using AWS technologies.
• Extensive experience as a Machine Learning Engineer delivering production AI solutions.
• Hands-on experience with PyTorch and transformer-based models.
• Experience developing solutions using Natural Language Processing (NLP) and modern LLM technologies.
• Strong understanding of classical machine learning techniques using scikit-learn, Pandas and SQL.
• Experience building computer vision solutions using technologies such as CNNs and Vision Language Models.
• Proven experience across the MLOps lifecycle, including deployment, monitoring and model management.
• Experience with experiment tracking tools such as MLflow.
• Experience working within Agile delivery teams.
• Strong stakeholder engagement and communication skills.

Highly Desirable

• Serverless application development and deployment.
• Infrastructure as Code experience, ideally AWS CDK.
• DevOps and CI/CD experience.
• Relevant ICT qualifications and industry certifications.

What’s on Offer?

• Long-term contract opportunity.
• Work on innovative AI and machine learning initiatives.
• Flexible hybrid working arrangements.
• Opportunity to influence enterprise-scale AI capability.
• Collaborative multidisciplinary engineering environment.

Eligibility Applicants must be Australian Citizens and be able to obtain a Baseline Security Clearance.

1 Senior Machine Learning Engineer LH-07726 • ACT, AU