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SeniorFull-timePythonAWSGCPMachine LearningPyTorchCI/CDML
Salary Range
£125,000 - £145,000 /year
About the Role
Echo Labs is seeking a Machine Learning Engineer to establish the inner workings of Echo's technical stack. This role focuses on creating a data and modeling infrastructure that enables rapid iteration and learning for ecology.
Key Responsibilities
- →Build data ingestion systems for multimodal ecological data: in situ sensor networks, acoustic files, imagery, video, and laboratory measurements.
- →Implement and monitor QA/QC checks: completeness, format validation, outlier flagging, metadata accuracy.
- →Design and implement reproducible modeling pipelines with experiment tracking, versioning, and artifact management.
- →Establish infrastructure for rapid model iteration prioritizing experiment velocity over model scale.
- →Collaborate across teams to explore how the representation of an ecosystem manifests in structured data.
Requirements
- ✓5 years in ML engineering, data engineering, or applied ML research.
- ✓Fluency in Python; experience with PyTorch or equivalent deep learning framework.
- ✓Experience building data pipelines: ETL, data validation, format standardization at non-trivial scale.
- ✓Working knowledge of cloud platforms (AWS or GCP): object storage, compute provisioning, basic networking.
- ✓Comfort with version control, CI/CD, and reproducible experiment workflows.
- ✓Ability to work independently on well-scoped tasks and flag blockers early.
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