Senior ML Engineer — Production AI & MLOps Leader

Just Eat Takeaway.com; Chertsey; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Just Eat Takeaway.com is seeking a Senior Machine Learning Engineer to join a cross-functional team focused on growing product algorithmic recommendations. You will evolve ML capabilities across the platform, improving and innovating new ones, while mentoring engineers and owning from discovery to production.

The role emphasizes leading architecture, scalable code, and collaboration across many teams, with a hybrid work model (3 days in office, 2 days from home) in Bristol/London.

Qualifications

• Proficiency in Python and software engineering principles applied to ML.
• Experience designing and operating ML systems in production including serving patterns.
• Familiarity with orchestration tools and cloud-native ML platforms.
• Ability to influence infra/tooling decisions balancing build vs. buy.

Responsibilities

• Collaborate with Data Scientists, Product Managers, and Backend Engineers to bridge model development and production systems.
• Lead architectural design of end-to-end ML systems from data ingestion to real-time inference and monitoring.
• Transform prototypes into robust production software with path to production ownership.
• Drive MLOps adoption (CI/CD, model versioning, feature stores) to accelerate feedback loops.
• Communicate complexities of ML systems to stakeholders.

Skills

Python

OO design & testing

ML systems in production

Communication with stakeholders

Tools

Airflow

Dagster

AWS SageMaker

GCP Vertex AI

Terraform

Docker

Kubernetes

REST APIs

CI/CD for ML

Job description

Just Eat Takeaway.com is seeking a Senior Machine Learning Engineer to join a cross-functional team focused on growing product algorithmic recommendations. You will evolve ML capabilities across the platform, improving and innovating new ones, while mentoring engineers and owning from discovery to production.

The role emphasizes leading architecture, scalable code, and collaboration across many teams, with a hybrid work model (3 days in office, 2 days from home) in Bristol/London.