Senior Machine Learning Engineer

Relay Tech
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Ownership","Problem-solving","First-principles thinking","Measuring impact","Automation mindset"]

Own and productionize ML models end-to-end, from training pipelines through live integration and measurable business impact in a critical logistics network. Build and mature the ML platform by evolving model serving, expanding reusable components, and setting standards for shipping ML org-wide. Strengthen model reliability via integration/system testing, automated releases, and drift monitoring, partnering directly with data scientists to launch revamped processes.

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FursaFursa
Relay Tech
Relay Tech
1 month ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own and productionize ML models end-to-end, from training pipelines through live integration and measurable business impact in a critical logistics network. Build and mature the ML platform by evolving model serving, expanding reusable components, and setting standards for shipping ML org-wide. Strengthen model reliability via integration/system testing, automated releases, and drift monitoring, partnering directly with data scientists to launch revamped processes.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own a critical part of ML by productionizing models end-to-end from training to live integration.
  • •Build and mature the ML platform, evolving model serving architecture and expanding reusable components adoption.
  • •Architect integration and system testing within training pipelines, automated releases, and drift monitoring to strengthen existing models.
  • •Launch completely revamped processes alongside data scientists and measure real-world network impact.
  • •Set and follow standards for how ML is shipped across the organization, including operational integration and releases.

Key Requirements

  • •At least two years deploying and operating models in production and four years building software on high-performing teams.
  • •Comfort shipping models into live systems by diving into unfamiliar codebases and languages.
  • •Experience building and maturing ML platforms, including model serving architecture and reusable components.
  • •Ability to strengthen models with integration and system testing within training pipelines, automated releases, and drift monitoring.
  • •Preference for building automation that removes manual labor rather than repeating it.
Experience:2+ years
Skills:OwnershipProblem-solvingFirst-principles thinkingMeasuring impactAutomation mindset
Tech Stack:PythonRustONNXChalk.aiGCPKubernetesBigQueryModel servingFeature storeDrift monitoringTraining pipelinesSystem testing

Company Brief

Relay Tech
Relay Technologies (relaytech.co) is an API-first, tech-enabled delivery network that optimizes e-commerce deliveries using AI-driven routing, real-time tracking and a distributed courier network to lower costs and emissions for retailers.
Industry: Last Mile Delivery
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Valuation: USD 100M to 250M
Funding: Series A
Headquarters: London, United Kingdom
Founded: 2022
WebsiteLinkedIn