Nearmap is hiring a Machine Learning Engineer for the US Insurance AI team. You will serve as the engineering backbone for Data Scientists, building and maintaining ML infrastructure to transform models into reliable, scalable products. Your role involves extending, adapting, and maintaining existing ML tooling and pipelines from the Sydney team for US-specific use cases.
What You'll Do
- Build and maintain ML pipelines for data ingestion, feature processing, model training, deployment, and monitoring in AWS.
- Extend and adapt existing tooling from the Sydney AICV team for US Insurance AI use cases.
- Develop and support internal tools and frameworks that streamline experimentation and improve delivery speed.
- Integrate internal and external APIs to connect datasets, models, and services.
- Partner with Data Scientists to understand their workflow needs and translate them into scalable technical solutions.
- Ensure infrastructure supports rapid experimentation while maintaining reliability, security, and scalability.
- Collaborate with Technical Product Managers, API engineers, and platform teams to deploy models in production.
- Contribute to a shared codebase through feature branches, pull requests, and code reviews.
What We're Looking For
- 2-4 years as a Machine Learning Engineer or ML-focused Software Engineer.
- Strong Python skills with a track record of writing clean, tested, production-grade code.
- Hands-on experience with ML libraries like PyTorch, scikit-learn, and pandas.
- Experience building and maintaining ML pipelines in production environments.
- Solid SQL skills and familiarity with data engineering tools (Airflow, Spark, or dbt).
- The ability to jump into an existing codebase, understand it, and extend it.
- Clear communication skills and comfort working across time zones.
Nice to Have
- AWS experience (S3, EC2, ECS, or similar).
- Experience consuming and integrating REST APIs at scale.
- Docker and containerisation experience.
- MLOps experience including CI/CD and model monitoring.
- Familiarity with geospatial or aerial imagery data.
- Experience with pipeline orchestration tools like Ray, Kubeflow, or Flyte.
Technical Stack
- Python, PyTorch, scikit-learn, pandas
- SQL, AWS, Docker
- Airflow, Spark, dbt
- Ray, Kubeflow, Flyte
Team & Environment
You will be part of the Insurance AI team, collaborating closely with Data Scientists in the US and ML Engineers in the Sydney AICV team.
Benefits & Compensation
- 4 extra 'YOU' days off each year.
- Company-sponsored volunteering days.
- Generous parental leave policies.
- Work from Overseas Policy - work from approved cities worldwide.
- Access to LinkedIn Learning.
- Discounted Private Health Insurance plans.
- Monthly wellbeing and technology allowance.
- A Nearmap subscription.
Work Mode
This role is based in the US and offers a global, remote-friendly work policy.
Nearmap is an equal opportunity employer.
