Senior Machine Learning Engineer (Platform)

About the role

Neara uses machine learning to build physics-enabled digital twins of electricity grids across four continents, helping utilities understand risks and optimise investments. The Senior Machine Learning Engineer builds and runs the pipelines, deployment systems and observability that keep ML models training reliably and serving in production. The role also supports deploying frontier multi-modal spatial models (point cloud, geospatial and asset data) to global utility and new vertical customers.

Key responsibilities

• Own the training, evaluation and deployment pipelines end-to-end, from data ingestion to models running in customer environments.
• Build CI/CD for models, artefact and model registries, reproducible environments and infrastructure as code.
• Implement monitoring, alerting, drift and data quality checks, and act as first responder when something breaks.
• Manage GPU cluster scheduling and resource management, troubleshooting failures across cloud, on-prem and neocloud environments.
• Deploy and scale inference services across regions and customers, balancing latency, cost and data residency.
• Improve the tooling and workflows used by ML engineers and document the standards that keep things consistent.

Required profile

• Solid hands-on experience building and operating ML training pipelines, model serving and monitoring systems in production.
• Strong Python and working knowledge of PyTorch (or equivalent), enough to debug a training job.
• Experience with distributed training and GPU infrastructure, including scheduling, resource management and diagnosing throughput or memory issues.
• Sound engineering judgement and a focus on maintainable code.

Required skills

• Cloud platforms (AWS, GCP or Azure)
• Container orchestration (Kubernetes, Docker)
• Infrastructure as code
• Production model monitoring and data quality frameworks
• Bonus: CUDA or kernel-level optimisation, point cloud or geospatial data, or deployments into regulated or air-gapped environments

What we offer

• Competitive salary and meaningful ESOP.
• Fully flexible work environment, with a fully stocked office in Redfern and regular office events.