Job Title: Senior Scientist (Data) Company: MetService Job Category: Machine Learning Roles & Responsibilities: Kōrero mō te tūranga \- About the role Turn advanced data science into practical scientific solutions. As our Senior Scientist – Data, you’ll lead and contribute to research and innovation in machine learning and data science, tackling complex challenges and strengthening MetService’s capabilities and services. The role is approximately 20% applied research, 60% solution development and deployment, and 20% technical leadership and mentoring. You’ll design and deliver complex projects, develop new methodologies and explore emerging technologies. Working across science, operational, digital and commercial teams, you’ll translate scientific insights into usable solutions, advise on significant technical decisions and help shape research\-funding proposals. Technical leadership and knowledge\-sharing are central to this role. Through peer review, mentoring and coaching, you’ll support colleagues to develop their expertise and champion scientific excellence. This is a technical leadership position with no direct reports. * Extensive practical knowledge of machine learning, deep learning and statistical techniques. * Experience deploying and maintaining machine learning models in operational or near\-real\-time systems, and working with large datasets. * Excellent scientific computing skills, including proficiency in Python. * A proven record of technical project leadership and the ability to manage multiple concurrent priorities through to successful outcomes. * Strong scientific and technical writing in English, with the ability to make complex ideas clear to different audiences and provide training and support at postgraduate level. Ētahi kōrero hai āwhina I a koe \- Why you should join our team Bring your scientific curiosity to work with practical purpose. This role offers the opportunity to explore emerging technologies while developing solutions that support MetService’s strategic objectives and services. You’ll connect with expertise across disciplines, contribute to significant scientific and technical decisions, and build capability in others through mentoring and knowledge\-sharing. It’s an opportunity to combine advanced research, hands\-on delivery and technical leadership. Me pēhea te tono \- How to apply? For more information about the role, please read the job description. Work Location: Wellington, Wellington, New Zealand Availability: Full time
Job Title: AI Training Specialist - Python Developer Company: Rise Data Labs Job Category: Machine Learning Roles & Responsibilities: About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high\-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. AI Training Specialist \- Python Developer We are seeking a skilled AI Training Specialist with a strong background in Python coding to join our dynamic team at Rise Data Labs. This role will involve training and enhancing AI models through meticulous data annotation and validation of AI\-generated content. Key Responsibilities * Competitive hourly rate ranging from $15 to $45 based on experience. * Opportunities for professional development and growth within the company. * A supportive and innovative work environment. * Flexible working hours and remote work options. Work Location: New Zealand Availability: Full time
Job Title: Lead Machine Learning Engineer Company: Halter Job Category: Machine Learning Roles & Responsibilities: About The Role. Halter’s Predictive Systems group is dedicated to the development of advanced models to provider farmers with the most accurate insight to optimise their operations. To provide farmers with the highest quality insights, we’re building upon the bleeding edge of scientific advancements with unmatched access to rich, novel data to develop a cutting edge agricultural modelling system. You’ll play a pivotal role in one of the machine learning teams within the group, where you could be building advanced models of pasture growth and land properties that power intelligent, modelling animal state, health and activity, and much more. Applications could range from remote sensing of pasture biomass, identification of animal heat events, to grazing interval simulation for advanced recommendations. You will be owning end to end development of machine learning pipelines, advanced contemporary modelling, to deployment and monitoring. You will work with great team\-mates in engineering, product and design to achieve outsized results. The impact of our work is profound, and we take that responsibility seriously. As a member of the group, you'll share our passion for technology and our commitment to optimizing the management of pastural grazing systems. You will be responsible for: * 🌱Modeling, from biological processes to farm operations: You will drive development of predictive systems to solve real\-world challenges faced by farmers. * 📚Research, from technical to agriculture: you will be required to conduct extensive literature reviews, and stay ahead of the curve with respect to both machine\-learning systems, and pasture science. * 🛠️Model development: design, dataset construction, training and optimization: Rarely do we utilize a model off the shelf. You will own the architectural design, and all phases of model development. * 👀Supporting your work in production: Halter engineers demonstrate a high level of ownership. We support what we build, and we learn from our systems behavior in the field. * 🧠Proactive innovation: As a member of the data discipline it is expected that you will exercise a high degree of creativity to proactively deliver innovative ideas. If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Why our team loves working at Halter: * Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. * Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. * You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. * This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!" Work Location: Auckland, New Zealand Availability: Full time
Job Title: Lead AI Engineer Company: Spark New Zealand Job Category: Machine Learning Roles & Responsibilities: Mō tēnei tūranga mahi \- About the Role: * Team Leadership: Line\-manage permanent AI engineers, establish engineering workflows, and drive measurable outcomes. * Engineering Standards: Define patterns for applications, agentic workflows, Retrieval\-Augmented Generation (RAG), and evaluation, while applying code review, test automation, and DevOps practices. * Release Readiness: Ensure pre\-production build, test, and evaluation quality with built\-in guardrails and observability. * Capability Growth: Build up internal skills and transition critical\-path AI work from external partners to in\-house teams. * AI Governance: Enforce responsible\-AI controls and usage guidelines to safeguard Spark's intellectual property Sustainability is a key focus for us. We are dedicated to supporting Aotearoa New Zealand’s recovery and economic transformation. The principle of equity is at the very heart of our approach, and we remain committed to working in partnership to make a positive contribution to digital equity in line with our focus on Diversity and Inclusion. * Wellbeing – Comprehensive medical insurance, life and income protection. Access to wellbeing coaches, EAP and in\-house Specialist Clinical support through our leading Mahi Tahi Wellness programme. * Hybrid ways of working – for most teams at Spark this means being in the office for 4 days a week, with 1 day being flexible. * Leave – in addition to four weeks annual leave, we offer purchased leave, enhanced parental leave payments \& support, and study leave. * Spark Credit – We provide permanent employees with $150 monthly Spark credit to use on any of our amazing products. * Spark Share scheme – periodically we offer the opportunity to buy into our share scheme. * Career development – access to an internal marketplace that connects employees with experiential, on the job learning across Spark. Due to the nature and urgency of this role, we are only considering applicants that are based in New Zealand with permanent residency, citizenship, or a valid work visa (with at least 18 months remaining). Work Location: Auckland, New Zealand Availability: Full time
Job Title: Senior Data Engineer Company: New Zealand Government Job Category: Machine Learning Roles & Responsibilities: * Lead the design and delivery of enterprise data solutions that support decision\-making, analytics, and AI * Play a key role in shaping NZTA's modern data platform and engineering practices * Coach and mentor data engineers while influencing technical excellence across the organisation * Permanent, full\-time position \- can be based in any NZTA office location As a Senior Data Engineer, you'll be a senior technical specialist within our Data Chapter, leading complex delivery initiatives and helping establish engineering practices that support scalable, secure and reliable data solutions. You'll work across squads, programmes and stakeholders to design and deliver modern data products and pipelines, while supporting the ongoing evolution of our enterprise data platform. You'll balance technical leadership with hands\-on delivery, ensuring solutions are fit for purpose today while supporting NZTA's future data, analytics and AI ambitions. You'll also play an important role in developing capability across the Data Community of Practice, sharing knowledge, coaching engineers and contributing to standards, patterns and ways of working that lift performance across the organisation Please click apply to upload your CV and cover letter outlining your suitability for the role. Work Location: Wellington, Wellington, New Zealand Availability: Full time
Job Title: Data Science Intern/Graduate, NZ Company: Partly Job Category: Machine Learning Roles & Responsibilities: Our model, Interpreter, is the first AI purpose\-built to understand repair. Trained on 1M\+ car models and 1B\+ parts, it reads a repair job the way an estimator does, resolves damage into the exact purchasable part, and shows its reasoning with a confidence score. On real production jobs, an estimator working with Interpreter reaches 98\.8% parts\-list accuracy, against 92\.1% with today's tools. It powers PartlyRepair, used by collision shops, workshops and suppliers to take the admin off the job; PartlyLabs, the agentic infrastructure enterprises use to deploy Interpreter across their own workflows; and a developer API. 🖍️ This role If you are relocating from overseas or domestically to Partly HQ, we offer a generous relocation allowance to support your move Work Location: Christchurch, Canterbury, New Zealand Availability: Full time
Job Title: Data Scientist Company: DairyNZ Job Category: Machine Learning Roles & Responsibilities: Based at our Newstead office and reporting to the Head of Data Science and Modelling, this position is an exciting opportunity to apply data science, machine learning and advanced analytics to support the future of New Zealand dairy farming. Working alongside scientists, analysts, digital specialists and business stakeholders, you'll transform complex data into practical insights that help inform decisions across farm systems, sustainability and sector priorities. Reporting to the Head of Data Science and Modelling, you will support the Data Science and Modelling team, including: * Applying statistical modelling, machine learning and analytics to solve complex business and research questions * Exploring, preparing and analysing structured and unstructured datasets * Developing, testing and validating analytical models and workflows * Translating analytical findings into clear, practical insights for a range of audiences * Creating visualisations, dashboards and reports that support decision\-making * Collaborating with scientists, analysts and stakeholders to design practical solutions * Supporting data quality, governance and reproducible analytical practices * Contributing to continuous improvement, innovation and emerging data science capabilities within DairyNZ Make a difference* \- Together with our farmers, help us drive positive progress for the sector and country we love. Our credible work supports a sustainable future for farmers, the environment and communities across Aotearoa New Zealand. Bring the whole you \-* We put people at the heart of what we do. We welcome all that you are and support your wellbeing, so you thrive personally and professionally. Work Location: Newstead, Waikato, New Zealand Availability: Full time
Job Title: Data Scientist Company: DairyNZ Job Category: Machine Learning Roles & Responsibilities: Based at our Newstead office and reporting to the Head of Data Science and Modelling, this position is an exciting opportunity to apply data science, machine learning and advanced analytics to support the future of New Zealand dairy farming. Working alongside scientists, analysts, digital specialists and business stakeholders, you'll transform complex data into practical insights that help inform decisions across farm systems, sustainability and sector priorities. Reporting to the Head of Data Science and Modelling, you will support the Data Science and Modelling team, including: * Applying statistical modelling, machine learning and analytics to solve complex business and research questions * Exploring, preparing and analysing structured and unstructured datasets * Developing, testing and validating analytical models and workflows * Translating analytical findings into clear, practical insights for a range of audiences * Creating visualisations, dashboards and reports that support decision\-making * Collaborating with scientists, analysts and stakeholders to design practical solutions * Supporting data quality, governance and reproducible analytical practices * Contributing to continuous improvement, innovation and emerging data science capabilities within DairyNZ Make a difference* \- Together with our farmers, help us drive positive progress for the sector and country we love. Our credible work supports a sustainable future for farmers, the environment and communities across Aotearoa New Zealand. Bring the whole you \-* We put people at the heart of what we do. We welcome all that you are and support your wellbeing, so you thrive personally and professionally. Work Location: Newstead, N, New Zealand Availability: Full time
Job Title: Senior Analytics Engineer Company: Metlifecare Job Category: Machine Learning Roles & Responsibilities: This is a pivotal opportunity to help shape Metlifecare's data and analytics capability as we continue our journey from descriptive reporting to predictive analytics and AI\-driven decision making. This is a senior, hands\-on role where you will lead the design and delivery of advanced analytics, predictive modelling and machine learning solutions that support smarter business decisions across the organisation. Working closely with the Data \& Analytics Lead, you will assist in building trusted data products, influence technical standards, and mentor fellow Analytics Engineers. Kery Responsibilities * Lead the design and delivery of complex analytics, predictive modelling and machine learning solutions. * Build and maintain scalable data products using Snowflake, dbt, Fivetran, Python and Power BI. * Design dimensional models, semantic layers and AI\-ready data products that enable self\-service analytics. * Develop, deploy and manage production machine learning models, including performance monitoring and ongoing optimisation. * Partner with business stakeholders to identify opportunities where data can drive value and better outcomes. * Provide technical leadership through code reviews, mentoring and coaching. * Champion best practice across analytics engineering, testing, CI/CD, documentation and data governance. * Contribute to innovation initiatives and help shape the future analytics and AI roadmap. * Demonstrated experience leading technical delivery and guiding others * Strong solution design, critical thinking and problem\-solving skills * The ability to translate complex technical concepts for a range of stakeholders * A collaborative approach with a genuine passion for coaching and developing others * Experience within healthcare, aged care or retirement living would be advantageous, but is not essential. Established in 1984, Metlifecare is a leading owner and operator of retirement villages, providing rewarding lifestyles and care to more than 7,400 New Zealanders. We pride ourselves on providing retirement communities in which people are empowered to be the very best version of themselves. Metlifecare currently operates over 37 villages located around New Zealand and employs over 2000 staff. * 3 paid wellness days per annum * 1 paid day of leave to celebrate your birthday each year * Health Insurance \- automatic cover free to all permanent staff * 26 weeks of parental leave on full pay and 5 days paid leave for partners. * Kiwisaver payments continued for those opted in over the age of 65 years * Employee assistance program (EAP) * Refer a friend incentive of up to $1500\* * Access to thousands of online training modules and courses from some of the world's leading learning specialists * Education, Development and Training Support Not sure if this role is for you but interested in what else Metlifecare has to offer? Then please visit our careers page www.careers.metlifecare.co.nz/home to see our other current vacancies. Location(s) Newmarket (Metlifecare Support Office) Work Location: Newmarket, Auckland, New Zealand Availability: Full time
Job Title: Senior Data Engineer Company: New Zealand Government Job Category: Machine Learning Roles & Responsibilities: * Lead the design and delivery of enterprise data solutions that support decision\-making, analytics, and AI * Play a key role in shaping NZTA's modern data platform and engineering practices * Coach and mentor data engineers while influencing technical excellence across the organisation * Permanent, full\-time position \- can be based in any NZTA office location As a Senior Data Engineer, you'll be a senior technical specialist within our Data Chapter, leading complex delivery initiatives and helping establish engineering practices that support scalable, secure and reliable data solutions. You'll work across squads, programmes and stakeholders to design and deliver modern data products and pipelines, while supporting the ongoing evolution of our enterprise data platform. You'll balance technical leadership with hands\-on delivery, ensuring solutions are fit for purpose today while supporting NZTA's future data, analytics and AI ambitions. You'll also play an important role in developing capability across the Data Community of Practice, sharing knowledge, coaching engineers and contributing to standards, patterns and ways of working that lift performance across the organisation Please click apply to upload your CV and cover letter outlining your suitability for the role. Work Location: Wellington City, N, New Zealand Availability: Full time
