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 http://www.tytonei.com
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 Responsibilties
- 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.
- Strong 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
- A 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 interesting. 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.
Apply with your CV if you’d like to grow alongside a business doing something that matters.
Skills Required
- 3+ years of experience in machine learning with computer vision
- Strong PyTorch skills
- Strong Python engineering skills
- Understanding of machine learning training, evaluation, deployment, and optimization
- Experience maintaining or extending existing machine learning codebases
- Strong problem-solving ability with real-world data
- Valid working rights in Australia
- Based in Perth or willing to relocate
- Geospatial or remote sensing experience
- Exposure to ecology
- Experience with large GIS imagery datasets, including satellite, drone, or aerial imagery
- MLOps experience, including CI/CD for machine learning, model monitoring, or reproducibility
- Cloud computing experience, preferably Google Cloud Platform
SLR Consulting Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SLR Consulting and has not been reviewed or approved by SLR Consulting.
-
Healthcare Strength — Healthcare coverage is presented as comprehensive, including medical, dental, vision, and orthodontia with HSA/FSA options. Company‑paid life insurance, short‑ and long‑term disability, and an Employee Assistance Program further strengthen the core package.
-
Retirement Support — A 401(k) (or regional equivalent) with company matching is a standard component and is repeatedly listed across roles. This provides structured retirement support alongside core benefits.
-
Leave & Time Off Breadth — Generous PTO accrual paired with a set of paid holidays is a recurring element, with some regions also offering buy/sell leave and enhanced family leave. These provisions signal meaningful time‑off flexibility in several markets.
SLR Consulting Insights
What We Do
SLR Consulting is a leading global environmental and sustainability advisory business dedicated to 'Making Sustainability Happen.' The company provides bespoke strategic and technical expertise to address complex environmental, social, and governance (ESG) challenges. It partners with clients across diverse sectors, including energy, infrastructure, and industrial technology, delivering tailored solutions across the full project lifecycle from strategy and design to compliance and remediation.
