🛠 Tech Stack

💼 About This Role

You'll design, build, and scale production-grade ML systems that automate margin-critical decisions for thousands of restaurant shifts. You'll own the end-to-end lifecycle from problem framing to deployment, creating intelligent forecasting and labor planning tools that replace guesswork with predictive analytics. This role offers high growth at a Series B startup and meaningful equity.

🎯 What You'll Do

• Design, deploy, and monitor production-grade ML services for demand forecasting.
• Build robust, observable ML pipelines and monitoring strategies.
• Partner with Product and Engineering to embed statistical models into workflows.

📋 Requirements

• Proven track record of taking production ML systems from concept to deployment.
• Advanced academic background (MSc/PhD) in applied statistics or quantitative field.
• Proficiency in writing clean, maintainable Python for shared codebases.
• Experience with forecasting or time-series domains.

✨ Nice to Have

• Systems thinking across APIs and CI/CD.
• Experience with cloud infrastructure.
• Background in classical ML.

🎁 Benefits & Perks

• 🌍 Work from anywhere policy for 3 months annually.
• 📈 Meaningful equity in a high-growth Series B startup.
• 💻 Remote-first culture with hubs in London, Dublin, and Spain.

📨 Hiring Process

Visit website, talk to Jack, get matched by Jill, then introduction if fit.