4 Senior Machine Learning Engineer jobs in New Zealand
Senior Machine Learning Engineer
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Leonardo.Ai is building one of the world’s highest-throughput Generative AI platforms, enabling millions of users, from beginners to professionals, to create high-quality images and videos with ease. Now part of the Canva family, we’re growing our global R&D team to deliver AI tools, products, and infrastructure that make creativity limitless for nearly a quarter of a billion users.
The Role:
We’re looking for a Senior Machine Learning Engineer to join our Platform Tribe, the team that provides the tools, infrastructure, and expertise that help every other product team at Leonardo move faster.
In this role, you’ll work at the intersection of Generative AI and MLOps. You’ll partner with researchers and engineers, be embedded in other teams for high-impact projects, and help design the pipelines, GPU infrastructure, and automation that transform cutting-edge research into production-ready features, making creativity accessible to millions of people.
Your work will have a direct and visible impact: you’ll enable teams across Leonardo to deliver AI-powered features faster, more reliably, and at scale.
What You’ll Do:
Generative AI & Inference:
- Collaborate with researchers to bring new models from prototype to production and ensure they deliver meaningful value.
- Build and maintain production pipelines for diffusion-based and related generative models (e.g. LoRA, ControlNet).
- Optimise inference for speed, reliability, and efficiency using techniques such as quantisation, distillation, caching, and multi-GPU parallelism.
- Tackle complex challenges like orchestrating multi-GPU video pipelines while ensuring systems are intuitive and maintainable.
- Develop and maintain automated MLOps pipelines covering training, deployment, monitoring, and retraining.
- Build CI/CD workflows for machine learning that make handovers from research to production seamless and safe.
- Create scalable data pipelines and storage solutions to support high-throughput workloads.
- Set up clear monitoring and alerting for model performance (e.g. Prometheus, Grafana, CloudWatch).
- Design secure, reliable infrastructure on AWS (S3, EC2, SageMaker) using Infrastructure-as-Code tools like Terraform.
- Be embedded in other teams, from Generations to Enterprise, to support high-impact projects requiring deep ML expertise.
- Develop shared tooling, reusable workflows, and architecture patterns that help teams across Leonardo build and ship faster.
- Promote knowledge-sharing, best practices, and scalable solutions across the organisation.
- Generative AI Experience: Experience deploying diffusion-based or similar generative models into production and working with inference optimisation techniques.
- MLOps Expertise: Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
- Infrastructure & Cloud: Hands-on with AWS (S3, EC2, SageMaker), Kubernetes, Docker, and Infrastructure-as-Code (Terraform).
- Performance & Efficiency: Proficient in techniques such as quantisation, distillation, caching, and distributed inference.
- Data Foundations: Ability to design scalable data pipelines and storage solutions (SQL/NoSQL).
- Engineering Craft: Strong Python skills and a focus on writing clear, maintainable, and collaborative code.
- Collaboration & Growth: Thrive in cross-functional teams, value open feedback, and enjoy supporting others’ success while learning continuously.
- Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.
- Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices. We have employees all over the world, ensuring you can thrive personally and professionally.
- Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. You’ll be encouraged to grow and excel in your career at Leonardo AI.
- Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity.
- A range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer:
- Impact the future of AI
- Reward package including equity - we want our success to be yours too
- Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave
- An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
- Flexible leave options that empower you to be a force for good, take time to recharge and support you personally, including remote working abroad
- Support with your professional development
- Fun and engaging company events, both virtual and in-person
- 20 days annual leave
We’re realistic about experience, even if you haven’t worked at this scale before. We encourage anyone exposed to deploying generative models to production, working with techniques like LoRA or diffusion, and optimising inference across GPUs to apply for this role.
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Technology, Information and Internet
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Middle SEO Data Science Specialist
Posted 543 days ago
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Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
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A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Middle SEO Data Science Specialist
Posted 543 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Middle SEO Data Science Specialist
Posted 543 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Data Platform Solution Engineer - Cloud & AI Data Platform - New Zealand
Posted 21 days ago
Job Viewed
Job Description
Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Data Platform for enterprise customers at Microsoft. Here, you'll be at the forefront of cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
**About the role**
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
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