About the Business Tyton 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 Role
We'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 Responsibilities
Improve TytonAI's core computer vision capabilities (segmentation, classification, fine‐tuning)
Ideate, design, and run experiments focused on customer impact
Design, train, and deploy deep learning models for large‐scale remote sensing and geospatial classification
Explore emerging ML techniques
Translate research ideas into production systems
Identify performance bottlenecks and improve inference speed, memory usage, and cloud efficiency
Contribute to platform architecture and technical direction as the product scales
Build tooling for training data, evaluation, and batch inference
Work within cloud environments (primarily Google Cloud) and Linux environments
Maintain documentation and engineering standards
Skills and Experience
3+ years experience in Machine Learning with Computer Vision.
Robust PyTorch and Python engineering skills.
Solid understanding of training, evaluation, deployment, and optimisation Experience maintaining or extending existing ML codebases
Strong problem‐solving ability with real‐world data
Note that applicants must have valid working rights in Australia and be based in Perth or be willing to relocate.
Desirable Geospatial / remote sensing experience.
Exposure to Ecology




Experience working with large GIS imagery datasets (satellite, drone, aerial)
MLOps experience (CI/CD for ML, model monitoring, reproducibility)
Cloud computing experience, GCP preferred.
Our Benefits
An technical role with meaningful ownership of core ML systems
Fast innovation cycle from idea experiment production
Real‐world ML problems at meaningful scale
Competitive salary + flexible hybrid work
Small, high‐calibre team with real product influence
Perth‐based, practical, focused, low‐ego culture
Next Steps
The problems here are genuinely engaging.
You'll be working on proprietary ML infrastructure applied to real ecological data, in a domain where the technical challenges and the environmental stakes are both real.
The team is small and experienced, which means less overhead and more ownership, and our recent acquisition by SLR Consulting gives us a global platform from which to scale.
We're Making Sustainability Happen.
We don't have all the answers to the complex sustainability challenges faced by humanity today.
But we're working on it.
We are a consultancy with 4,500+ employees, working on projects in over 125 countries around the world.
When you join SLR, you'll work alongside some of the world's leading advisors and technicians on projects of global importance in the environmental space.
We know sustainability starts from within.
And no matter how good we are today, we can always do better.
We continually work on our internal ethics to set the standard for organisations and reflect the advice we give to clients.
#J-*****-Ljbffr

📌 Machine Learning Engineer (Western Australia)
🏢 SLR Consulting Australia
📍 Western Australia