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Our client, focused on National Security, is looking for a Machine Learning (ML) Engineer with a current Positive Vetting level Clearance (PV) for a 12-month contract (with extension options) to operate from their Canberra (ACT), location.
The successful candidate will work as a Machine Learning (ML) Engineers are involved in setting the overall ML Ops strategy for the organisation as well as the delivery of complex projects. They will work closely with cross-functional teams including data scientists, engineers and business stakeholders to ensure that ML initiatives are aligned with industry standards and business goals.
Key duties:
We’re Whizdom. We view you as an extension of our strong, dependable brand and have differentiators which really are different! The Whizdom way:
Please upload your resume to apply. Please note you will be required to complete a selection criterion to complete this application process. We will be in touch with instructions for suitably skilled candidates. Submission closes on 24 July 2025 at 11:00 am Call Peter Warby on 0480 011 480 or intel@whizdom.com.au for any further information. Candidates will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification, and any other client-requested checks
Machine Learning Engineer
| Job title : | Machine Learning Engineer |
| Contract type : | Contract |
| Location : | Canberra |
| Sectors : | |
| Salary : | $140 - $160 per hour |
| Start date : | 2025-07-06 00:00:00 |
| Duration : | 12.0 MONTH |
| Job Reference : | V-53912 |
| Contact name : | Peter Warby |
| Contact email : | peterw@whizdom.com.au |
| Job published : | 23 days ago |
The successful candidate will work as a Machine Learning (ML) Engineers are involved in setting the overall ML Ops strategy for the organisation as well as the delivery of complex projects. They will work closely with cross-functional teams including data scientists, engineers and business stakeholders to ensure that ML initiatives are aligned with industry standards and business goals.
Key duties:
- Software development with Python.
- Experience with MLOps tooling such as MLFlow, Ray, KubeFlow, Kserve or an enterprise ML platform.
- Building DevOps pipelines with GitLab CI/CD or equivilent.
- Kubernetes, Docker.
We’re Whizdom. We view you as an extension of our strong, dependable brand and have differentiators which really are different! The Whizdom way:
- We pay our contractors same day you submit your timesheet!
- We are Level 3, DISP certified and have signed the Veteran Employment Commitment and been awarded the highest level of compliance to this important initiative, proactively assisting veterans transitioning from the forces to civilian roles. We’ve been lucky enough to win industry awards for our high level of process compliance and are ISO 9001 certified. Our commitment to reducing Greenhouse Gas Emissions has been accredited in line with large global organisations.
- We value diversity and welcome applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability.
Please upload your resume to apply. Please note you will be required to complete a selection criterion to complete this application process. We will be in touch with instructions for suitably skilled candidates. Submission closes on 24 July 2025 at 11:00 am Call Peter Warby on 0480 011 480 or intel@whizdom.com.au for any further information. Candidates will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification, and any other client-requested checks