Remote Senior Machine Learning Engineer
Role details
Job location
Tech stack
Job description
- Own client launches end-to-end, including validating data, selecting models, running UAT, going live, and monitoring performance afterwards
- Join client calls, build relationships, and understand what matters on the ground for our customers
- Work closely with our industry experts to understand client businesses and the realities of frontline operations
- Help scale our production forecasting system from a handful of clients to hundreds
- Deliver practical machine learning solutions with a focus on business outcomes, not just model accuracy
Technologies:
- AI
- Claude Code
- Copilot
- Cursor
- Docker
- GCP
- Support
- MacBook
- Machine Learning
- Python
- numpy
- Cloud
- Excel
- LESS
Requirements
- Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and require monitoring
- Strong ML fundamentals, including the ability to reason about practical trade-offs, explain feature importance versus model selection, and make sound judgment calls when unexpected issues arise
- Client-facing deployment experience, having personally owned an ML deployment end-to-end and being comfortable on calls with non-technical stakeholders
- Strong programming skills in Python, including the ML and scientific Python stack such as numpy and scikit-learn
- Daily use of AI development tools such as Claude Code, Cursor, Copilot, or equivalent as a standard working mode
- Experience in forecasting, time-series, or demand-planning would be an advantage
- Familiarity with our stack: Python, scikit-learn, MLflow, Docker, and GCP would be an advantage
- Experience working in a small team where ownership is broad and context switching is normal would be an advantage
Benefits & conditions
We are Sona, the next generation of AI-native frontline workforce management. We build an end-to-end platform covering Scheduling, HR, Payroll, and Communications for large frontline organisations, helping them staff more intelligently and empower their teams. In under five years, we have made a deep impact on over 100k frontline workers, grown to a team of 140+, and secured over $100M in funding from notable VCs including N47, Felicis, Northzone, and Gradient Ventures. This is a high-impact opportunity to join a small but growing team with experienced leaders, strong structure, and world-class benefits. The role is fully remote across European timezones and includes a competitive salary, share options, generous leave, pension matching, health insurance, enhanced parental leave, co-working support, team retreats, a MacBook and home office budget, professional development support, and unlimited free books.