Senior ML Engineer - Real-Time Logistics ML Platform

Relay Technologies; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Relay Technologies is seeking a Senior Machine Learning Engineer to own productionising models end-to-end, from data pipelines to live integration, and to measure business impact on a live logistics network.

The role involves building and maturing our ML platform, evolving the model serving architecture, and setting standards for reusable components across Relay. You will collaborate with data scientists to launch refreshed processes and monitor drift.

Qualifications

• Has hands-on experience deploying and operating ML models in production.
• Experience building and maturing ML platforms and reusable components.

Responsibilities

• Own critical part of ML: productionising models end-to-end from training to live integration and measurable impact.
• Advance ML platform by evolving serving architecture and setting organization-wide standards.
• Improve models by integrating testing, releases, and drift monitoring pipelines.
• Collaborate with data scientists to launch revamped processes and measure real-world network impact.

Skills

Production ML deployment

End-to-end ML pipeline

Model serving architecture

Drift monitoring

Collaboration with data scientists

Workflow automation

Tools

Python

Rust

ONNX

GCP

Kubernetes

BigQuery

Job description

Relay Technologies is seeking a Senior Machine Learning Engineer to own productionising models end-to-end, from data pipelines to live integration, and to measure business impact on a live logistics network.

The role involves building and maturing our ML platform, evolving the model serving architecture, and setting standards for reusable components across Relay. You will collaborate with data scientists to launch refreshed processes and monitor drift.