Senior Machine Learning Engineer at Relay Technologies | London, England | Rezi

Senior Machine Learning Engineer at Relay Technologies

Senior Machine Learning Engineer

Relay Technologies · London, England

6 days ago

Senior Machine Learning Engineer

Relay Technologies · London, England

7 days ago
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About the Role

Relay is reshaping how goods move in an online era, backed by a $35M Series A. We are building a talent-dense team to free commerce from friction and make online shopping seamless and accessible.

Responsibilities

  • Own the productionization of ML models end-to-end, from training pipeline through live integration to measured business impact.
  • Build and mature the ML Platform, evolving model serving architecture and expanding reusable components adoption.
  • Set the standards for how Relay ships ML across the organization.
  • Strengthen existing models by architecting integration and system testing within training pipelines, automated releases, and drift monitoring.
  • Launch revamped processes with data scientists and measure their real-world impact on the network.

Requirements

  • At least two years deploying and operating models in production.
  • 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 labor over repeating it.

Skills

  • Python
  • Rust
  • ONNX
  • GCP Agent Platform Endpoints
  • Kubernetes
  • BigQuery
  • Chalk.ai

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • Senior

Education Level

  • Advanced degrees across computer science, mathematics and operations research

About the Company

  • 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.
  • 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.
  • We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.
  • Every parcel Relay handles is touched by ML.
  • ML Stack Highlights: Python and Rust. We keep things simple but use the right tool for the job. Rust with ONNX in-process model execution where throughput is critical. Chalk.ai as our Feature Store. GCP Agent Platform Endpoints for model serving. Cloud-native on GCP. Services run on Kubernetes, with extensive use of BigQuery.

Equal Opportunity

  • Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.