Machine Learning Engineer

About The Role:

• You'll join a two-person ML team that has built a production forecasting system running daily half-hourly predictions across multiple restaurant chains.
• 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.

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.
• Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode.

Benefits:

• Fully remote (European timezones)
• 35 days annual leave (25 days standard plus 10 flexible public holiday days)
• Pension contributions matched up to 5%

Note: Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members.