Senior ML Engineer: Build Scalable AI Systems (Hybrid)

Just Eat Takeaway.com; West of England; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Just Eat Takeaway.com in the UK seeks a Senior Machine Learning Engineer to grow product recommendations and evolve ML capabilities across the platform. You will lead architecture, write scalable code, mentor engineers and own projects from discovery to production.

Collaborate with Data Scientists and Engineers to bridge model development and production, drive MLOps adoption, and ensure reliable, scalable ML systems impacting millions of customers daily.

Qualifications

• Proficiency in Python and strong software engineering practices applied to ML
• Experience deploying ML systems in production with serving patterns (REST, batch, event-driven)
• Experience with orchestration tools and cloud-native ML platforms
• In-depth knowledge of infrastructure as code and containerization
• Understanding of data engineering fundamentals to debug data flows

Responsibilities

• Collaborate with Data Scientists, Product Managers, and Backend Engineers to bridge model development and production systems
• Lead end-to-end ML system architecture from data ingestion to real-time inference and monitoring
• Transform prototypes into robust production software with ownership from discovery to production
• Drive adoption of MLOps best practices to accelerate feedback loops
• Communicate ML system trade-offs to technical and non-technical stakeholders
• Build networks across Data and Engineering to ensure seamless integration with the platform
• Lead projects, mentor peers and advocate for engineering excellence

Skills

Python

ML systems design

Cloud platforms

MLOps

Docker/Kubernetes

REST APIs

SQL

Data engineering

Tools

Airflow

SageMaker

Vertex AI

Terraform

Job description

Just Eat Takeaway.com in the UK seeks a Senior Machine Learning Engineer to grow product recommendations and evolve ML capabilities across the platform. You will lead architecture, write scalable code, mentor engineers and own projects from discovery to production.

Collaborate with Data Scientists and Engineers to bridge model development and production, drive MLOps adoption, and ensure reliable, scalable ML systems impacting millions of customers daily.