Join us and help to lead innovation, enhance business performance and enable data driven decision making throughout ACC!
- Join a team where your engineering mindset meets cutting-edge machine learning, enabling seamless deployment, monitoring, and automation of models that make a real-world impact.
- Work with modern tools like Kubernetes, MLflow, and Terraform to architect resilient pipelines and platforms that empower data scientists and drive innovation at scale.
- Be the bridge between data science, software engineering, and DevOps, fostering a culture of experimentation, continuous delivery, and operational excellence.
About us | Mō mātou
ACC exists to support people - we help prevent injuries and get New Zealanders and visitors back to everyday life if they’ve had an accident.
You can find more about ACC and the work we do here.
About the role | Mō te tūranga mahi
The MLOps Engineer conceptualises, builds and maintains robust machine learning systems to automate and improve decision-making processes. They understand ACC’s complex business problems, and how to create and apply advanced statistical and machine learning techniques to solve them.
The role leads innovation, enhances business performance, and enables data-driven decision-making throughout the organisation, collaborating with Data Scientists, and Data Engineers to implement scalable and efficient machine learning solutions and integrate them into production environments.
The role provides technical leadership and mentoring across the wider MLOps Community of Practice in all phases of data engineering and machine learning.
This is a permanent, Wellington based role.
About you | Mōu
- You have an understanding of machine learning fundamentals (algorithms, statistics and data science) and are familiar with popular machine learning frameworks
- You have experience with Azure and/or AWS cloud platforms
- You have experience with model deployment technologies, CI/CD pipelines, model versioning, and model monitoring.
- You are experienced with software engineering practices and have some experience of data engineering principles and practices
- Strong Python programming skills
- You will have experience working in agile methodology
- Experience with SQL and/or other database manipulation tools
- Ideally you will be familiar with dbt on Snowflake – however this is a nice-to-have.
- Ability to work in a collaborative environment
Working at ACC | Mō ACC
At ACC, we embrace the rich tapestry of Aotearoa’s cultures and are dedicated to providing equitable opportunities. We know that a diverse and inclusive team helps us meet the needs of our customers, and we encourage applications from individuals of all backgrounds, ethnicity, national origin, gender identity, age, and those with diverse abilities. It is important to us that people are free to be themselves at work. Here are some ways we encourage that:
- Employee networks to support our colleagues from diverse backgrounds.
- The option to explore flexible working that suits your needs and ours.
The appointing salary range for this role is $117,787 - $166,288 with appointment depending on skills and experience of the successful applicant. ACC also offers additional 9% superannuation.
Me pēhea te tuku tono | How to apply
Please attach your CV and cover letter telling us why you would be a great fit and what strengths you would bring to the role.
Applications will run through to 12pm (midday) Thursday 4th September 2025. Applications can only be accepted when submitted through our ACC Career Website. If you encounter accessibility issues when submitting your application, or if you have any pātai (questions) about the role please email [email protected]
