Nearmap is looking for a Machine Learning Engineer to join our Insurance AI team. You will be the engineering backbone for our Data Scientists, building and maintaining the ML infrastructure that turns models into reliable, scalable products. This involves extending and adapting existing tooling from our Sydney AI team for US-specific insurance 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 AI 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 translate workflow needs 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).
- 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, Airflow, Spark, dbt
- Docker, REST APIs
Team & Environment
You will be part of the Insurance AI team, collaborating with Data Scientists in the US and Machine Learning Engineers in Australia.
Benefits & Compensation
- 4 extra 'YOU' days off each year.
- Company-sponsored volunteering days.
- Generous parental leave policies.
- Work from Overseas Policy.
- Access to LinkedIn Learning.
- Discounted Private Health Insurance plans.
- Monthly wellbeing and technology allowance.
- A Nearmap subscription.
Work Mode
Nearmap fosters a remote-friendly, inclusive, and supportive culture where everyone feels a sense of belonging.
Nearmap is an equal opportunity employer.
