Machine Learning Jobs in Wellington
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Search Results - Machine Learning Jobs in Wellington
Alignerr-Wellington
Senior Machine Learning Engineer - AI Data Trainer
Location: Remote
About the Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. This project is about capturing how an LLM...
Datacom-Wellington
software development experience, specifically in Python and Typescript. Candidates should have a strong background in machine learning and AI development, with hands-on experience in deploying models on cloud platforms like Azure or AWS.
The company values...
Alignerr-Wellington
A cutting-edge AI company is seeking a Machine Learning Engineer - AI Data Trainer for a remote contract position. The role involves authoring structured reasoning traces for complex tasks and creating training data to improve AI decision-making...
DOT loves data-Wellington
A data consulting firm in Wellington is looking for a client-facing Data Scientist who excels in both analytical problem solving and clear communication. You will drive data-driven strategies, collaborate with clients, and refine machine learning...
Alignerr-Wellington
A leading AI technology partner seeks a Senior Machine Learning Engineer – AI Data Trainer to develop high-fidelity reasoning traces for complex tasks. Responsibilities include mentoring, designing data strategies for LLMs, and ensuring optimal...
FICO-Wellington
of data, behavioural profiles, decision management, orchestration, Machine Learning, Artificial Intelligence, Simulation, and Optimization in SaaS offerings.
A Passion to learn and educate customers and FICO colleagues through presentations...
NZ Post-Wellington
This is a hands‑on role where you’ll take ideas through to working solutions, shape business challenges into data science opportunities, explore data in Snowflake, build and deploy machine learning models in Python, and support them in production using modern MLOps...
Crescent Consulting-Wellington
on real-world performance
This is a hands‑on role focused on building systems that are used, trusted, and relied on in production.
What We’re Looking For
5+ years’ experience in AI, machine learning, or data engineering
Proven experience delivering AI...
NZ Post-Wellington
A leading postal service provider in Wellington is seeking a Data Scientist to join their team. This role involves designing and deploying machine learning models, exploring data in Snowflake, and applying MLOps practices to ensure scalability...
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...
Canonical-Wellington
thinker and problem solverKnowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCPInterest in large‐scale enterprise open source – private clouds, machine learning and AI, data and analyticsIntermediate level Python programming...
Alphero Limited-Wellington
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...
workable.com -
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...
YO IT Consulting-Wellington
A leading AI consultancy is seeking experienced film and video editors to contribute to AI research efforts. This fully remote role allows for flexible scheduling and focuses on creating and reviewing deliverables that support machine learning...
Alignerr-Wellington
cutting‑edge AI models. You’ll challenge advanced language models on topics such as machine learning theory, statistical inference, neural network architectures, and data engineering pipelines—documenting every failure so we can harden model reasoning...
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