Model Ops Engineer
Auckland, New Zealand
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Full Time USD 131K - 175K
NZ Transport Agency Waka Kotahi
Our primary function is to promote an affordable, integrated, safe, responsive and sustainable land transport system. We’re working to deliver our customer promise – great journeys to keep New Zealand moving.- Collaborate across teams and shape cutting-edge Model-Ops practices
- Drive impact at the forefront of machine learning operations
- Permanent opportunity located in Auckland, Wellington or Christchurch
Te Whiwhinga mahi | The opportunity
We’re looking for a Model Ops Engineer to take the lead in improving how machine learning models are deployed and managed. You’ll focus on building and enhancing pipelines, automating key processes, and ensuring models run efficiently and securely. A strong understanding of machine learning, software engineering principles, and experience with platforms like Databricks and Azure will set you up for success.
This role requires someone who can collaborate effectively across teams, communicate clearly, and build strong relationships. You’ll also need to be organised, adaptable, and mindful of security and discretion. With the flexibility to work from any of our three national offices, this is a fantastic opportunity to solve exciting challenges and play a key role in shaping how we deliver value through data and machine learning.
You will find out more about the role here.
We are seeking to appoint at a salary between $131,659 - $175,545 commensurate to skills and experience.
Ko koe tēnei | About you
To be successful in this role, you will bring:
- Advanced level skills in Python programming, SQL and R
- Experience in ModelOps/MLOps, DataOps & DevOps
- Clear understanding of statistical and ML modelling
- Very good understanding of Software Engineering principles
- Docker and Kubernetes
- Experience with commercial cloud platforms – ideally Databricks and Azure ecosystems
- An understand of information security and discretion
- An ability to build and maintain relationships
- Good verbal and written communication skills
- A relevant post graduate qualification in Computer Science, Data Science, IT, Engineering or another related discipline
You will demonstrate knowledge of, or a willingness to gain an understanding of Te Ao Māori and promote tikanga and Te Reo Māori. You will also have knowledge of, or a willingness to gain an appreciation of Te Tiriti o Waitangi (the Treaty of Waitangi) as it applies in the public service.
Mō mātou |About Us
At NZTA it all starts with our people. The organisation's performance and success depend on the people who choose to make this a great place to work and make a difference for Aotearoa. The Transport Agency has a strong future focus, understanding that new technologies and changing customer expectations mean the transport system we know today will not be the one we deliver in ten years' time.
NZTA is the largest infrastructure delivery agent in New Zealand, our work touches the lives of all New Zealanders by planning, designing, delivering, managing and operating an integrated transport system along with our partners. We have some of the most capable and motivated people in the industry working to provide a transport system that enables New Zealanders to live, travel, work and connect.
Ka whiwhi koe i te aha | What you will get in return
- Competitive salary and benefits package.
- Flexible working arrangements.
- Along with our other benefits we also have 5 weeks annual leave and an Income Protection and Critical illness Insurance scheme available for all permanent employees.
Me pēhea te tuku tono | How to apply:
Please click apply to upload your CV and cover letter detailing your suitability for the role.
Rā Katinga | Applications close:
25 July 2025For further information, email: careers@nzta.govt.nz
To be considered for this position you must have a legal right to live and work in New Zealand.
Waka Kotahi is an equal opportunity employer (EOE). We recognise the importance of diversity and inclusion and are committed to providing a working environment that embraces these values. Please let us know if you need any support or have any access requirements that will help you through the recruitment process.
Please note that we may begin shortlisting as we receive applications. We encourage early applications as we may withdraw the advertising at any time.
Tags: Azure Computer Science Databricks DataOps DevOps Docker Engineering Kubernetes Machine Learning ML models MLOps Pipelines Python R Security SQL Statistics
Perks/benefits: Career development Competitive pay Flex hours
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