Senior Machine Learning Engineer

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.

Responsibilities

Own critical part of ML: productionising of our models end-to-end, from training pipeline through live integration to measured business impact; Build and mature our ML Platform. Evolve the model serving architecture, expand reusable components adoption and set the standards for how Relay ships ML org-wide; Strengthen existing models by architecting integration and system testing within training pipelines, automated releases and drift monitoring; Launch completely revamped processes side by side with data scientists and measure their real-world impact on the network

Requirements

At least two years deploying and operating models in production and four years building software on high-performing teams; Comfortable diving into unfamiliar codebases and languages to ship a model into a live system; Prefer building the automation that removes manual labour over repeating it

Nice to have

Aim with Precision; Play to Win; 1% Better Every Day; All In, All the Time; People-Powered Greatness; Grow the Whole Pie