About Relay
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. Our mission is to free commerce from friction. 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.
The Team
- 110 people, more than half in engineering, product and data
- 45+ advanced degrees across computer science, mathematics and operations research
- Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
- An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation
Technology Stack
Every parcel Relay handles is touched by machine learning. We recommend and optimise route assignment, predict delivery durations, estimate parcel dimensions and weight, detect objects in images on device, forecast demand and decide network handovers. More than ten models run in the critical path of our live logistics network where quality is non negotiable.
Our stack includes Python and Rust; Rust with ONNX in process model execution for throughput critical services; Chalk.ai as our feature store; GCP Agent Platform Endpoints for model serving; and a cloud native architecture on GCP, with services running on Kubernetes and extensive use of BigQuery.
Role Overview
As a Senior Machine Learning Engineer at Relay, you will own the critical part of ML: productionising 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 and set standards for how Relay ships ML organization wide.
- Strengthen existing models by architecting integration and system testing within training pipelines, automating releases, and monitoring drift.
- Launch completely revamped processes side by side with data scientists and measure their real world impact on the network.
Qualifications
- 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 automation that removes manual labour over repeating it.
Culture & Values
- Aim with precision: define problems clearly and measure your impact meticulously.
- Play to win: chase bold bets, tackle the hard stuff, view constraints as fuel, not friction.
- 1% better every day: small, consistent improvements lead to exponential growth.
- All in, all the time: take ownership from start to finish and deliver when it counts.
- People powered greatness: invest in teammates, give and receive feedback with care and candour, build trust through high standards and shared success.
- Grow the whole pie: seek win win solutions for merchants, couriers, and customers.
Equal Opportunity Statement
Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.