Machine Learning Engineer

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

Next Steps?
To keep things simple, we ask that all applications are submitted through this advert. We’ll review applications as they come in and be in touch.

For any questions give Imtiaz Mohammed a call on +64 27 231 8437 and quote Job ID: 18290 for a confidential chat.

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.

Tribe is a group of specialist teams, each of who truly understand their world, and together they partner to understand yours. Whether you’re looking for your next opportunity or recruiting, we’re all about bringing people together for a shared purpose. Find your people.

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Machine Learning Engineer

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