Machine Learning Engineer

We are in the process of kicking-off a program of work as part of VMIA's 2024 strategy to enhance a new data and analytics technology platform (Microsoft Azure Cloud). As a result, we have a fantastic opportunity for an experienced Machine Learning Engineer to be part of a state-wide eco-system to identify key risks to the state and find ways to proactively identify and prevent/reduce harm caused to all Victorians.
Job Details
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Department: Victorian Managed Insurance Authority
Work Type: Ongoing - full time
Job Function: IT and Telecommunications
Classification: As per advertisement
Work Location: Melbourne - CBD
Reference: VG/1694229
Closing Date: 03-Feb-2023
Salary Range: As per advertisement
Job Duration: N/A
Attachments: Position Description - Machine Learning Engineer - Insurance Services - January 2023.pdf (PDF, 135KB)
Job Specification

Contact: Faith Yego

Position Details

Machine Learning Engineer                                                                                                                                                                                                                                                                                                                                              Permanent Ongoing Position                                                                                                                                                                                                                                                                                                                                            Insurance Services Divison

About VMIA

Victorian Managed Insurance Authority (VMIA) is the Victorian Government's insurer and risk adviser, covering the people and projects that help Victorians thrive. We're an agency in the Department of Treasury and Finance portfolio established under the Victorian Managed Insurance Authority Act, and report to the Assistant Treasurer.

We provide insurance and risk advice to government departments and agencies, with more than 4,600 clients ranging from small community service organisations to public hospitals, schools, and core service providers. We also provide domestic building insurance to builders, giving Victorian homeowners peace of mind for building projects valued over $16,000.

We help our clients prepare for, prevent, or reduce the impact of harm. When things don't go to plan, we help clients restore services and recover quickly.

Our unique perspective across Victorian Government clients provides an opportunity for learning and development across the risk and insurance industry as well as the broader public sector, creating deeper connections with our clients, and a shared understanding of best practice in our fields of expertise.

People are at the heart of everything we do. At VMIA, you'll be encouraged to achieve your career goals in a progressive and flexible workplace that, most importantly lets you be yourself.

Your role

It's an exciting time for VMIA, we are transforming our insights, data, and research capability as an essential part of achieving VMIA's 2024 strategic objectives. We aim to become a world-class risk management and insurance organisation and are looking for talented professionals like you to join us on this journey!

As part of this, we are in the process of kicking-off a program of work to enhance a new data and analytics technology platform (Microsoft Azure Cloud).

As a result, we have a fantastic opportunity for an experienced Machine Learning Engineer to be part of a state-wide eco-system to identify key risks to the state and find ways to proactively identify and prevent/reduce harm caused to all Victorians.

In this role you will build and develop our machine learning technologies and infrastructure, working in Python to establish our data pipelines to improve reliability and efficiency throughout the organisation.

We are looking for a seasoned engineer with a strong drive for learning, always striving to stay up to date with evolving technologies – these attributes will set you up for success within this role.

This is a unique opportunity to utilise leading edge technology and enjoy great benefits such as hybrid working arrangements, competitive salary and investment into your learning and development.

Your role reports to the Data Platform Manager in the Insurance Services Division.

How You'll make an impact

  • Build the framework for Machine Learning and Python function workflows.
  • Model evaluation and version control for Python modelling experiments.
  • Expand, optimise, and support our data pipeline architecture and recommend ways to improve data reliability, efficiency, and quality in our data pipelines by applying DataOps principles.
  • Design, develop, test, deploy and maintain highly scalable robust data management solutions hosted in-cloud environments.
  • Apply best practice solution development and implementation methods including Continuous Integration/Deployment, development and testing standards and DevOps patterns.
  • Build and maintain the CI/CD pipeline that deploys the machine learning and Python infrastructure.
  • Support the day-to-day operation of data platform including responding to service requests, debugging and remediating data pipeline issues, conducting root-cause analysis and incident reviews.
  • Participate in agile rituals including daily stand-ups, planning, backlog management, demos, and retrospectives.

Who you work with

  • Key stakeholders within Insights & Analytics, specifically the Data Platform team, to enhance the core Python data infrastructure and architecture, and the Data Science team, to productionise analytical models and functions (mainly in Python).
  • Technology team to ensure the resources and services utilised by the data platform are properly governed and compliant with VMIA standards.

About you

  • 3-5 years' Python coding experience in a data or software development setting.
  • 1-3 years' AI & Machine Learning coding experience using Python in a data or software development setting.
  • Solid experience in utilising SQL (PostgreSQL, SnowSQL) to extract, transform and load (ETL) data into data warehouse.
  • Experience in monitoring, automating and uplifting data warehouse outcomes using DevOps methodologies and toolsets, including GIT.
  • Experience working with Windows and Linux operating systems, including in Docker.
  • Excellent analytical skills and proven track record solving difficult problems.
  • Experience in Agile tools such as the Atlassian Suite (Jira, Confluence and Bitbucket).
  • Continuous Integration/Delivery tools such as Azure Devops, Bitbucket, Bitbucket Pipelines.
  • Strong analytical and problem-solving skills with a flair for creating innovative solutions.
  • You are keen to work in a highly collaborative and agile environment.
  • A qualification in computer science, analytics, or related field

Why work with us?

  • We're known for our incredible culture and sense of community – and an employee value proposition that makes our people proud.
  • We reward innovation, best practice thinking and collaboration. We're industry leaders in diversity and inclusion, are passionate about gender equality, and encourage and enable our people to bring their whole selves to work.
  • We were leaders in working flexibly even before COVID-19. Now, we operate in a hybrid environment, with a suite of events and activities to connect us even when we're apart. We'll continue to work from where it makes sense to, with flexible arrangements that deliver for our clients and work for our people.
  • We are a learning organisation, and you can expect to grow, develop, and evolve your professional career whilst at VMIA
  • We offer programs, subsidies and leave options to support the wellbeing of our people and invest in their development and growth.

How to apply

If we've sparked your interest, apply now by submitting your CV and cover letter to introduce yourself, address your suitability for this role and why a role at VMIA appeals to you

To note: Applications without a cover letter will not be considered.

Should you be successful for the first round of screening and shortlist, you'll be contacted by a member of the Talent Acquisition team who'll guide you through the next steps and our recruitment process.

For more information about VMIA, refer to our careers page.  

If you have an enquiry or want to find out more about the role, refer to the job description, alternatively, contact Faith Yego, Talent Acquisition Adviser at

We encourage people from all gender identities, Aboriginal and Torres Strait Islander cultures, with disabilities, and from culturally diverse backgrounds to apply.

Please let us know of any accessibility needs to consider during the recruitment process.

Other relevant information

Preferred candidates will be required to undertake pre-employment screening including a national police check, probity, and misconduct screening.

Additional Information

VMIA is supportive of hybrid working arrangements.

Applications close 5pm Friday, 3rd February 2023.

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