About The BusinessTyton Ecological Intelligence (Tyton) builds AI-first platforms for ecological monitoring at landscape scale.
Our products, TytonAI and TytonIQ, combine machine learning, high-resolution aerial imagery (drone, aircraft and satellite), and cloud analytics to automate vegetation classification, rehabilitation monitoring, weed mapping and biodiversity assessment across thousands of hectares.
Tyton is creating a globally scalable enterprise platform that enables ecologists and environmental teams to replace manual workflows with repeatable, ML-driven processes.
TytonAI is already deployed across major mining operations in Western Australia, and we're now expanding this capability for broader global use.
Our recent acquisition by SLR Consulting provides us with a global platform, driving us into an exciting period of growth.
Learn more about Tyton and our technology at About The RoleWe're looking for a Senior Machine Learning Engineer to help evolve TytonAI, our large‐scale computer vision platform for ecological classification.
This is a permanent full‐time role initially based in our Leederville office, with a transition to be based out of SLR Consulting's Subiaco office, next year.
This is a hands‐on senior role combining R&D; and delivery.
You'll own core ML systems end‐to‐end: experimenting with new ideas, turning successful models into production pipelines, and continuously improving performance, reliability, and scale.
You'll work on deep learning for high‐resolution imagery, geospatial pipelines, and cloud workflows supporting enterprise customers globally.




This role suits someone who enjoys shipping real ML products - not just building prototypes.Key ResponsibiltiesImprove TytonAI's core computer vision capabilities (segmentation, classification, fine‐tuning)Ideate, design, and run experiments focused on customer impactDesign, train, and deploy deep learning models for large‐scale remote sensing and geospatial classificationExplore emerging ML techniquesTranslate research ideas into production systemsIdentify performance bottlenecks and improve inference speed, memory usage, and cloud efficiencyContribute to platform architecture and technical direction as the product scalesBuild tooling for training data, evaluation, and batch inferenceWork within cloud environments (primarily Google Cloud) and Linux environmentsMaintain documentation and engineering standardsSkills And Experience3+ years experience in Machine Learning with Computer Vision.Solid PyTorch and Python engineering skills.Solid understanding of training, evaluation, deployment, and optimisationExperience maintaining or extending existing ML codebasesStrong problem‐solving ability with real‐world dataNote that applicants must have valid working rights in Australia and be based in Perth or be willing to relocate.DesirableGeospatial / remote sensing experience.Exposure to EcologyExperience working with large GIS imagery datasets (satellite, drone, aerial)MLOps experience (CI/CD for ML, model monitoring, reproducibility)Cloud computing experience, GCP preferred.Our BenefitsA technical role with meaningful ownership of core ML systemsFast innovation cycle from idea → experiment → productionReal‐world ML problems at meaningful scaleCompetitive salary + flexible hybrid workSmall, high‐calibre team with real product influencePerth‐based, practical, focused, low‐ego culture
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📌 Machine Learning Engineer (Western Australia)
🏢 Slr Consulting
📍 Western Australia