Senior ML Engineer - Logistics (Hybrid, 3/2)

Just Eat Takeaway.com

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

4 days ago
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Job summary

Just Eat Takeaway.com is seeking a Senior ML Engineer for Logistics, based in London with a hybrid work model (3 days in office, 2 days remote). The role reports to the Data Science Manager and sits in the Logistics department.

The position is full-time with a standard 37.5-hour work week, offering opportunities to deploy scalable ML systems in production. You will lead ML deployments, collaborate with Data Scientists, and drive best practices across the organisation to improve accuracy and

Qualifications

  • Expert-level proficiency with cloud technologies (AWS) and containerisation (Kubernetes).
  • Strong background in software development, DevOps and MLOps in production.
  • Experience deploying scalable ML models and services.
  • Collaboration with Data Scientists on deployment and optimisation.
  • Experience with MLflow for experiment tracking and Airflow or Dagster for orchestration.
  • Experience with Data Engineering, Kafka and stream processing.

Responsibilities

  • Architect ML pipelines for logistics sub-domains.
  • Launch Data Science applications with efficient ML models.
  • Manage real-time and batch inference systems.
  • Provide technical leadership and set engineering practices.
  • Lead integration of new technologies into infrastructure.
  • Ensure ML frameworks stay at the cutting edge.

Skills

Python
SQL
Kubernetes
AWS
DevOps
MLOps
Airflow
Kafka

Tools

MLflow
Airflow
Dagster
Kafka

Job description

Just Eat Takeaway.com is seeking a Senior ML Engineer for Logistics, based in London with a hybrid work model (3 days in office, 2 days remote). The role reports to the Data Science Manager and sits in the Logistics department.

The position is full-time with a standard 37.5-hour work week, offering opportunities to deploy scalable ML systems in production. You will lead ML deployments, collaborate with Data Scientists, and drive best practices across the organisation to improve accuracy and

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Equity options
Hybrid work model