Senior Machine Learning Engineer
Relay Technologies3 months ago
London, United KingdomSenior
Responsibilities
- Productionize ML models end to end, from training pipelines through live integration and measured business impact.
- Build and mature Relay’s ML platform, including model-serving architecture and reusable components.
- Establish standards for shipping ML across the organization.
- Integrate system testing into training pipelines, automate releases, and implement model drift monitoring.
- Partner with data scientists to launch revamped processes and measure their real-world impact on the logistics network.
- Work across unfamiliar codebases and languages to deploy models into live systems.
Requirements
- At least two years of experience deploying and operating models in production.
- Four years of experience building software on high-performing teams.
- Ability to work effectively in unfamiliar codebases and languages.
- Strong technical fundamentals, automation skills, entrepreneurial drive, and an ownership-oriented approach.
Tech Stack
Categories
About Relay Technologies
Relay Technologies builds a technology-driven delivery network for e-commerce, combining logistics operations with software that optimizes parcel routing and costs for retailers and marketplaces. The company provides delivery and fulfillment services across Europe and the US, aiming to make online shipping faster and more affordable for merchants. Founded in 2022 and headquartered in London, Relay is privately held and has raised a Series A led by Plural.