
11 - 50 employees
🏥 Healthcare
📦 Logistics
🛒 Retail
Healthcare • Logistics • Retail
Sona is a modern app designed to empower frontline workers by providing them with essential tools that enhance productivity and streamline operations. With features that allow employees to view their schedules, request time off, pick up shifts, and communicate easily, Sona transforms the employee experience in various sectors, including health and social care, retail, logistics, and non-profit organizations. The platform also enables managers to minimize administrative tasks, optimize spending, and improve team engagement.
🕒 April 12
🇬🇧 United Kingdom – Remote
💵 £95k - £110k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 57%
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11 - 50 employees
🏥 Healthcare
📦 Logistics
🛒 Retail
Healthcare • Logistics • Retail
Sona is a modern app designed to empower frontline workers by providing them with essential tools that enhance productivity and streamline operations. With features that allow employees to view their schedules, request time off, pick up shifts, and communicate easily, Sona transforms the employee experience in various sectors, including health and social care, retail, logistics, and non-profit organizations. The platform also enables managers to minimize administrative tasks, optimize spending, and improve team engagement.
• 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.
• 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
• 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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