Machine Learning Engineer

Tribe Group; Wellington; Hybrid; NZD 90,000 - 130,000; Full time

Benefits offered by this job

5 weeks leave

Sick leave provisions

Wellbeing support

Annual volunteer day

Job summary

Tribe Group in New Zealand seeks an experienced Data Engineer with strong MLOps skills to build and deploy scalable data and model pipelines. You will design infrastructure for model management, evaluation and deployment across cloud/HPC/on-prem environments and collaborate with data scientists and domain experts.

The role emphasizes CI/CD, automation, and reliability, with a focus on ethics, privacy and governance in delivery.

Qualifications

• 3+ years’ experience in data engineering, DevOps/MLOps, or related engineering roles.
• Strong capability in Python and/or R, and practical experience deploying ML solutions.
• Proven experience building ETL pipelines and repeatable model development workflows.
• Confidence with containerisation and automated deployments (e.g., Kubernetes-style environments).
• Understanding of model evaluation, and a solid foundation in statistics.
• Comfort working with cloud platforms (Azure experience ideal) and infrastructure-as-code (preferred).
• Ability to embed ethics, privacy, governance and Māori data sovereignty considerations into delivery.

Responsibilities

• Build and maintain high-quality data and model pipelines, taking proof-of-concept work into production.
• Design and implement infrastructure for model management, evaluation and deployment across cloud/HPC/on-prem environments.
• Collaborate with data scientists and domain experts across multi-disciplinary programmes.
• Promote strong software engineering and MLOps best practice (CI/CD, automation, reliability).
• Engage with ethics, privacy and governance considerations in project delivery.

Skills

Python

R

ETL pipelines

MLOps

Kubernetes

Azure

IaC

ethics privacy governance

Tools

CI/CD tooling

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

About the Opportunity

• Join a New Zealand research-based organisation delivering science that supports public health, environmental protection and justice outcomes
• Build and maintain high-quality data and model pipelines, taking proof-of-concept work into production
• Design and implement infrastructure for model management, evaluation and deployment across cloud/HPC/on-prem environments
• Collaborate with data scientists and domain experts across multi-disciplinary programmes
• Promote strong software engineering and MLOps best practice (CI/CD, automation, reliability)

What You’ll Bring

• 3+ years’ experience in data engineering, DevOps/MLOps, or related engineering roles
• Strong capability in Python and/or R, and practical experience deploying ML solutions
• Proven experience building ETL pipelines and repeatable model development workflows
• Confidence with containerisation and automated deployments (e.g., Kubernetes-style environments)
• Understanding of model evaluation, and a solid foundation in statistics
• Comfort working with cloud platforms (Azure experience ideal) and infrastructure-as-code (preferred)
• Ability to embed ethics, privacy, governance and Māori data sovereignty considerations into delivery

What’s on Offer

• Meaningful work: apply ML to complex, high-impact challenges for Aotearoa NZ
• Flexible working options (hybrid environment) and location flexibility across main centres
• Benefits package including equivalent of 5 weeks’ leave, sick leave provisions, and wellbeing support
• Annual volunteer day + supportive, values-led culture focused on collaboration and quality

To apply for this vacancy, you MUST be a New Zealand citizen, resident, or have already secured the right to work in New Zealand and therefore hold a valid visa.

At the appropriate stage we will request your references, we ask that you do not include them on your CV when applying.