Machine Learning Engineer
SLR Consulting4 days ago
Perth, AustraliaSenior
Responsibilities
- Improve computer vision capabilities including segmentation, classification, and fine-tuning.
- Design, train, deploy, and optimize deep learning models for large-scale remote sensing and geospatial classification.
- Develop and run experiments, translate research ideas into production systems, and focus on customer impact.
- Identify bottlenecks and improve inference speed, memory usage, reliability, scale, and cloud efficiency.
- Build tooling for training data, evaluation, and batch inference.
- Contribute to platform architecture, technical direction, documentation, and engineering standards.
- Work within Google Cloud and Linux environments.
Requirements
- At least 3 years of machine learning experience with computer vision.
- Strong Python engineering skills and strong PyTorch skills.
- Solid understanding of model 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 and residence in Perth or willingness to relocate.
- Desirable: geospatial or remote sensing experience, ecology exposure, large GIS imagery datasets, MLOps, model monitoring, reproducibility, and cloud computing experience, preferably with GCP.
Benefits
- Permanent full-time role based initially in the Leederville office, transitioning to SLR Consulting’s Subiaco office the following year.
- Flexible hybrid work.
- Meaningful ownership of core ML systems and real product influence within a small, high-calibre team.
- Competitive salary.
- Work on proprietary ML infrastructure and real ecological data at meaningful scale.
Tech Stack
Categories
About SLR Consulting
SLR Consulting provides environmental and sustainability consulting and engineering services to energy, infrastructure, mining, built environment, and industrial clients worldwide. Its fee-based offerings span impact assessments, permitting, ESG and climate advisory, and design and compliance support across project lifecycles. Founded in 1994 and headquartered in London, the privately held firm is backed by Charterhouse Capital Partners.