Senior Machine Learning Engineer

📋 Description

• Design, build and run production pipelines for aerial imagery and geospatial data.
• Monitor pipelines, diagnose failures and fix root causes.
• Optimize pipelines for speed and cost via profiling and GPU usage.
• Validate model and pipeline changes against current outputs.
• Turn research models into production systems across whole countries.
• Develop geospatial algorithms and deliver data to users.

🎯 Requirements

• Bachelor's degree in CS, engineering, stats, physics or related.
• 5+ years in numerical field (applied math, CV, geospatial).
• High-quality production numerical code with business outcomes.
• Strong software engineering in scientific Python.
• Strong systems thinking with pragmatism.
• Experience with large-scale data on cloud compute.

🎁 Benefits

• Flexible time off and 4 extra 'YOU' days annually.
• Generous parental leave policies.
• Work from Overseas Policy in approved cities.
• Discounted private health insurance.
• Wellbeing and technology allowance.
• Quarterly wellbeing day off.