Machine Learning Jobs in Wellington
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Search Results - Machine Learning Jobs in Wellington
SmarterDx-Wellington-
Senior Machine Learning Research Scientist - MLOps
Remote (United States)
SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform...
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Momentum New Zealand-Wellington-appcast.io-
practices to operationalize machine learning models at scale.
• Lead the design of data platforms (data warehouses, data lakes, and lakehouses) supporting real-time and batch data pipelines.
• Collaborate with data scientists, engineers, and business...
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SmarterDx-Wellington-
OverviewAs a Staff Data Scientist at SmarterDx, you will play a pivotal role in training cutting-edge machine learning models and ensuring their strategic integration into our Clinical AI Platform. Your work will focus on maximizing the business...
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New Zealand Trade and Enterprise-Wellington-
practices.
• Architect and evolve our data ecosystem to support AI, machine learning, and advanced analytics.
• Collaborate across NZTE and with external partners to deliver impactful data products and services.
• Represent data and analytics...
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Canonical-Wellington-
architecture, and components that their team uses, including popular open-source machine learning tools like Kubeflow, MLFlow, and Feast. Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices...
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New Zealand Trade and Enterprise-Wellington-appcast.io-
and best practices.
• Architect and evolve our data ecosystem to support AI, machine learning, and advanced analytics.
• Collaborate across NZTE and with external partners to deliver impactful data products and services.
• Represent data and analytics...
Read more
Canonical-Wellington-
and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality...
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Canonical-Wellington-
Solid understanding of web development technologies such as HTML, CSS, and JavaScript
• Data analytics and statistical analysis
• Natural language processing, sentiment analysis, machine learning
• Data visualisation
The ideal candidate will use...
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Twine-Wellington-
of large language models and machine learning concepts.
Familiarity with RLHF methodologies and data generation techniques.
Experience with Python and relevant ML libraries (such as PyTorch or TensorFlow).
Ability to work independently and communicate...
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Simple Machines-Wellington-
including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology...
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Datacom-Wellington-workable.com-
success, and finance.
This is a senior hands-on role for someone who can move comfortably between technical depth and business context. You’ll lead advanced analytical work, guide the use of AI and machine learning across the business, and mentor others...
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Datacom-Wellington-
development.
What we’re looking for
Data is at the heart of everything we do at Smartly: it starts with a deep understanding of our customers and our business and ends with leveraging the power of AI and machine learning, bringing it all together...
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Canonical-Wellington-
longAdditional skills that would be nice to haveProven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloudHands-on experience with machine learning libraries, or toolsExperience...
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Binance-Wellington-
in Machine Learning, AI, Computer Science, or related fieldResearch track record (ICLR, NeurIPS, ACL, ICML) a plusHands-on experience building LLM/agent guardrails (policy design, refusal rules, filtering, permissions)Practical experience with hallucination mitigation...
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ACC New Zealand-Wellington-
principles, including machine learning concepts, model evaluation methods, and ethical considerations, to support the delivery of high-quality and reliable AI solutions
A thorough understanding of the full test life cycle, particularly as it fits within...
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