Senior Machine Learning Engineer
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Job Description
Senior Machine Learning Engineer at Sona developing AI-driven solutions for frontline workforce management. Join a small ML team scaling forecasting models across multiple restaurant chains.
Responsibilities:
- You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards.
- You'll join client calls, build relationships, and understand what actually matters on the ground - not just whether the model is accurate, but whether the kitchen prepped the right amount of food.
Requirements:
- Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and need monitoring
- Strong ML fundamentals - you can reason about trade-offs in practice, explain why certain features matter more than model selection, and make good judgement calls when something unexpected happens
- Client-facing deployment experience - you've personally owned an ML deployment end-to-end and are comfortable on calls with non-technical stakeholders
- Strong programming skills in Python, including the ML/scientific Python stack (e.g. numpy, scikit-learn)
- Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode
Benefits:
- Fully remote (European timezones)
- Share options
- 35 days annual leave (25 days standard plus 10 flexible public holiday days)
- Extra day of leave for every year of service
- Pension contributions matched up to 5%
- Comprehensive health insurance
- Enhanced parental leave & pay
- Co-working space stipend for those based outside London
- Bi-annual all expenses paid team retreats
- The latest Macbook and equipment budget for your home office
- Professional development budget
- Unlimited free books
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