Machine Learning Engineer

@ Nearmap

About Nearmap

Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, high-resolution imagery, insights, and answers that create meaningful change in the world.

Role Overview - Machine Learning Engineer

The Machine Learning Engineer is a key architect of the platform that empowers teams to build, deploy, and operate AI models at scale. In this high-impact software engineering role, you will design and build the core infrastructure, pipelines, and tools that support everything from traditional ML to Large Language Models.

Key Responsibilities

• Design, build, and operate ML infrastructure on Kubernetes for model training and inference.
• Create force-multiplier tools for end-to-end ML/LLM lifecycle management.
• Implement MLOps and AIOps principles to enhance automation, reliability, and security.
• Collaborate closely with Data Scientists and ML Engineers to address internal needs.

Desired Personal Attributes & Technical Skills

• Pragmatism in shipping effective, production-grade solutions.
• Strong collaboration and communication skills.
• Solid proficiency in Python and Linux/Unix environments.
• Experience with containerization using Docker and orchestration using Kubernetes.
• Familiarity with modern development practices (Git, CI/CD, automated testing).

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field and at least 2 years of software engineering experience.

Additional Perks

• Quarterly wellbeing day off and additional annual 'YOU' days.
• Access to LinkedIn Learning and technology allowance.
• Hybrid flexibility with in-office presence at Sydney CBD.
• Stocked kitchen, in-office lunches, and wellness facilities.

Key skills/competency

Python, Linux, Kubernetes, Docker, CI/CD, MLOps, LLM, Terraform, Prometheus, Collaboration