Staff ML Platform Engineer: Scale AI for global grids

Neara; Greater London; On-site; GBP 89,000 - 120,000; Full time

Benefits offered by this job

Full relocation to Australia

Competitive salary

ESOP

Flexible work environment

Office in Redfern

Job summary

Neara seeks a Staff Machine Learning Platform Engineer to own the infrastructure and systems enabling fast, reliable ML development and deployment for geospatial digital twins across global utilities. You will lead multi-year roadmaps for training, serving, experiments, and monitoring.

Join a team pioneering multi-modal spatial models, handling point cloud and geospatial data, while scaling research into production in a fully relocation-friendly role with visa sponsorship.

Qualifications

• Proven ability to set ML platform standards and interact across teams
• Deep hands-on expertise building ML infrastructure at scale
• Experience in building training data warehouses and bringing data systems to ML readiness
• Excellent Python and deep learning tooling experience
• Experience with cloud infrastructure (AWS, GCP or Azure) and on-prem/neocloud offerings

Responsibilities

• Own the ML platform strategy end-to-end - Define and drive the multi-year technical roadmap for training pipelines, serving architecture, experiment management, and monitoring systems that tie it all together.
• Build tooling that accelerates ML delivery - Develop foundational infrastructure that takes engineers from idea to production faster, standardising workflows and eliminating friction between experimentation and deployment.
• Solve hard distributed systems problems - Enable training across distributed data with residency and security requirements, while ensuring models run efficiently across varied GPU hardware.
• Design scalable, flexible serving architecture - Define serving systems that handle spiky load in production while giving the ML team freedom to experiment across regions, customers, tasks, and verticals.
• Unblock the ML team at scale - Identify what's slowing the team down, define contracts and interfaces between training, evaluation, and serving, and roadmap to turn ambitious research into routine delivery.

Skills

Python

PyTorch

Distributed compute

Model monitoring

Data quality frameworks

MLOps

Tools

Kubernetes

Docker

Job description

Neara seeks a Staff Machine Learning Platform Engineer to own the infrastructure and systems enabling fast, reliable ML development and deployment for geospatial digital twins across global utilities. You will lead multi-year roadmaps for training, serving, experiments, and monitoring.

Join a team pioneering multi-modal spatial models, handling point cloud and geospatial data, while scaling research into production in a fully relocation-friendly role with visa sponsorship.