Machine Learning Jobs in Wellington
1 - 14 of 14
Search Results - Machine Learning Jobs in Wellington
Datacom-Wellington-
Subnets, NSGs, and Azure FirewallFoundational knowledge or hands-on experience with Azure AI Services (e.g., Azure OpenAI, Azure AI Search, Azure Machine Learning, or Azure AI Studio).An understanding of how to securely architect and govern AI workloads...
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Alphero Limited-Wellington-workable.com-
At Alphero, we don't just design apps, we imagine and build the future of digital. We're looking for an Android Developer who's on the journey to build their craft with Kotlin and Compose, and who's genuinely curious about AI, machine learning...
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TELUS Digital AI Data Solutions-Wellington-
contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some...
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Wellington, New Zealand (NZ) Engineering-Wellington-
with additional data tools and platforms, such as Apache Spark, Hadoop, or Databricks.
Familiarity with machine learning workflows and model deployment in data lake
Experience working in Agile or DevOps environments.
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Tech Mahindra-Wellington-
Skills
ServiceNow certifications (CSA, CAD, CIS in specific modules)
Experience with GenAI, LLM‑based workflows, or machine learning
Exposure to large-scale ServiceNow transformations or multi-module deployments
Hands‑on experience with REST/SOAP APIs...
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University of Otago-Dunedin, 615 km from Wellington-
distinguishing between ice types at scale remains challenging. The team is developing a new pancake-ice detection method using recent breakthroughs in satellite wave observations, combining physics-based modelling and experiments with machine-learning–enhanced...
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KPMG New Zealand-Wellington-
and deliver exceptional client outcomes.
Expertise in data platforms (including architecture and integration), machine learning, and emerging AI technologies.
A strategic mindset, exceptional communication skills, and the ability to build lasting relationships...
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Accident Compensation Corporation-Wellington-jobs.govt.nz-
and system levels. You will apply advanced statistical modelling, machine learning, and AI techniques to develop robust solutions. Working closely with investigators, prevention teams, and a wide range of stakeholders, you will translate complex problems...
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Federato-Wellington-
within Federato’s AI/ML organization. Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI‑powered features ranging from prompt‑based LLM workflows to more...
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Datacom-Wellington-workable.com-
Foundational knowledge or hands-on experience with Azure AI Services (e.g., Azure OpenAI, Azure AI Search, Azure Machine Learning, or Azure AI Studio).
• An understanding of how to securely architect and govern AI workloads within an enterprise Azure...
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TELUS Digital AI Data Solutions-Tauranga, 418 km from Wellington-
backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest...
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Federato-Wellington-
of team operations.
Drive hiring excellence by attracting, developing, and scaling a high‑performing team aligned with business needs.
Who We Hope You Are
8+ years of experience in data science, data engineering, or machine learning‑related roles.
4. ..
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KPMG New Zealand-Wellington-
statistical modelling, machine learning or AI projectsExperience with implementing data and AI solutions and applications on cloud (e.g. data warehouses, data lakes, AI agents)High integrity and a professional backgroundDeliver on objectives with a hands‑on...
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black.ai-Wellington-
within clearly defined tribes.
Squads are cross-functional, with engineers working closely alongside Product, Design, and Machine Learning partners. Teams stay together long enough to deeply understand their domain, learn from real customer behaviour...
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