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
Job Title: Senior Machine Learning Systems Engineer Company: Atlassian Job Category: Machine Learning Roles & Responsibilities: Overview About Atlassian Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well\-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed. In this role, you will be joining the Central AI Org and more specifically the AI \& ML Platform team. * Develop horizontal AI capabilities and infrastructure that can be leveraged across all products. * Establish a centralized Search, Q\&A, and Conversational AI system that integrates seamlessly with all Atlassian products. * Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem. Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Responsibilities About This Role As a Senior Machine Learning System Engineer on the AI \& ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines. You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high\-quality ML datasets, fine\-tuning open\-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues. This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results. In This Role, You'll Get The Chance To * Collaborate with your teammates to solve complex problems, from technical design to launch. * Deliver cutting\-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers. * Deliver code reviews, documentation \& bug fixes within a strong engineering culture * Partner across engineering teams to take on company\-wide initiatives spanning multiple projects. * Mentor junior members of the team. * 6\+ years of general software engineering experience with 2\+ years in building Machine Learning and AI infra/Platform/Systems * Comprehensive ML lifecycle expertise: Proven experience developing, deploying, and maintaining end\-to\-end ML systems, from data engineering to model serving and monitoring. * Large\-scale system design: Extensive experience designing and building scalable, fault\-tolerant, and high\-performance distributed systems for machine learning. * Proficiency with frameworks and languages: Good proficiency in Python and familiarity with ML frameworks like PyTorch, TensorFlow, or JAX. Bonus if you have worked with other languages like Go, Java, or Scala. * MLOps and automation: Some experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models. Work Location: Auckland, Auckland, New Zealand Availability: Full time
Job Title: ML Engineer I Company: UST Job Category: Machine Learning Roles & Responsibilities: Role description UST is seeking an experienced AI \& Python Automation Engineer with expertise in Python development, Generative AI, Test Data Management (TDM), workflow automation, and enterprise application modernization. The ideal candidate will be responsible for developing intelligent automation solutions, integrating AI\-powered capabilities, and driving innovation through modern technologies that improve operational efficiency and user experience. As an AI \& Python Automation Engineer, you will design, develop, and implement AI\-enabled solutions that automate business processes, enhance Test Data Management capabilities, and accelerate digital transformation initiatives. You will work closely with business stakeholders, product teams, architects, and engineers to build scalable applications leveraging Python, Large Language Models (LLMs), automation frameworks, and cloud\-native technologies. ### Key Roles \& Responsibilities * Design, develop, and maintain Python\-based automation solutions to streamline operational processes and improve efficiency. * Build AI\-powered applications and intelligent workflows using Generative AI technologies and Large Language Models (LLMs). * Develop and integrate automation frameworks that reduce manual effort and improve business productivity. * Collaborate with business stakeholders to gather requirements and translate them into scalable digital solutions. * Design and implement REST APIs and backend services using Python\-based frameworks such as FastAPI and Flask. * Develop AI\-driven solutions for intelligent automation, data processing, content generation, and workflow optimization. * Support Test Data Management (TDM) modernization initiatives through automation and AI adoption. * Implement data masking, synthetic data generation, and data provisioning solutions. * Utilize prompt engineering techniques to optimize Generative AI model performance and business outcomes. * Integrate AI and automation capabilities into enterprise applications and business processes. * Monitor application performance, analyze user feedback, and continuously enhance solutions. * Ensure compliance with security, privacy, accessibility, and enterprise governance standards. * Troubleshoot automation, application, integration, and AI model issues. * Participate in proof\-of\-concepts (POCs), innovation programs, and digital transformation initiatives. * Collaborate with cross\-functional teams in Agile environments to deliver reliable, scalable solutions. * Evaluate emerging AI technologies and recommend innovative approaches to improve platform capabilities. Required Skills ### Programming \& Development * Python * FastAPI * Flask * REST APIs * SQLAlchemy * Microservices Development * Workflow Automation * Backend Development * Generative AI * Large Language Models (LLMs) * Prompt Engineering * AI Solution Development * LangChain * AI Agent Development * Scikit\-learn * TensorFlow * PyTorch * AI/ML Integration ### Test Data Management (TDM) Skills * Python * Generative AI * Artificial Intelligence * Prompt Engineering * FastAPI * Flask * LangChain * Automation * Test Data Management (TDM) * Data Masking * Synthetic Data Generation * REST APIs * Data Processing * SQL * Machine Learning We honor our commitments and act with responsibility in all our relationships. UST reserves the right to periodically redefine your roles and responsibilities based on organizational requirements and/or your performance. * To support and promote the values of UST. * Comply with all Company policies and procedures. Python, Generative AI, Test Data Management, Workflow Automation, REST, FastAPI, Flask, Pandas, NumPy, SQLAlchemy, MySQL Work Location: Bengaluru, India Availability: Full time
Job Title: Senior Site Reliability Engineer Company: Okta Job Category: Machine Learning Roles & Responsibilities: Okta authenticates, authorizes, and provision millions of users a day. Internally, TDI Infrastructure Engineering runs the platforms that our own engineering and business teams build on — hosted on AWS, increasingly Kubernetes\-native, and expanding fast to support AI\-driven internal workflows. We're looking for a Senior SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization. As a Senior Site Reliability Engineer on our Bengaluru/India team, you will build and operate the Kubernetes\-based platform that hosts internal workflows across the business, with a growing focus on hosting AI\-driven workflows reliably in production. You'll report to the Manager, Site Reliability Engineering, and work closely with the rest of the India SRE team, as well as global SRE peers. * Building, operating, and improving our Kubernetes platform — cluster management, networking, security posture, and day\-2 operations * Developing self\-service capabilities, golden paths, and automation that let internal teams onboard and operate workflows with less platform expertise required * Supporting the platform's readiness to host AI\-driven internal workflows reliably at scale * Troubleshooting and resolving production issues, including participating in a follow\-the\-sun on\-call rotation shared with SRE peers in the US and India, and driving postmortems for incidents you own * Contributing to and upholding reliability practices — SLIs/SLOs, error budgets, and operational runbooks * Improving CI/CD pipelines and infrastructure\-as\-code practices, including change and release management * Building and maintaining observability and monitoring coverage for the systems you own * Mentoring junior engineers and contributing to design and code reviews * Collaborating with the India team to align local implementation with the broader global platform strategy This role is based in Bengaluru, India. Okta operates a flexible hybrid work model; specific in\-office expectations will be discussed during the hiring process. This role requires regular collaboration with SRE peers and engineers globally, so some flexibility in working hours should be expected. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy.* * Supporting Your Well\-Being * Driving Social Impact * Developing Talent and Fostering Connection \+ Community Work Location: Bengaluru, India Availability: Full time
