Senior Machine Learning Engineer - AI

Position: Senior Machine Learning Engineer
Department: Growth & Customer Experience Engineering
Hybrid role: 3 days a week from office & 2 days working from home
Full time / Part time role: Full time
We're a leading global online food delivery platform, and our vision is to empower everyday convenience.
Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
We are looking for a Senior Machine Learning Engineer to join a cross functional team, focussing on growing our product algorithmic recommendations within Just Eat Takeaway.com.
Your team will focus on evolving existing machine learning and AI capabilities across the platform, improving those capabilities, and innovating new ones for the future.
Ownership is one of the core engineering principles in our organisation - we write it and we own it. This role offers you the opportunity to lead, deliver, and care for cutting-edge ML systems that impact millions of customers daily.
Collaborate extensively with Data Scientists, Product Managers, and Backend Engineers to bridge the gap between model development and production systems
Lead the architectural design of end-to-end ML systems, from data ingestion and training pipelines to real-time inference and monitoring infrastructure
Transform innovative data science prototypes into robust, scalable, and secure production software, taking ownership of the 'path to production'
Drive the adoption of MLOps best practices (CI/CD for ML, model versioning, feature stores) to accelerate the feedback loop for Data Scientists
Effectively communicate the complexities of ML systems (e.g., Build and maintain a strong network across the Data and Engineering organizations to ensure ML systems integrate seamlessly with the wider platform
Lead projects, mentor peers, and advocate for engineering excellence within the data science domain
Proficiency in Python and a strong understanding of software engineering principles (OO design, patterns, testing) applied to Machine Learning
Demonstrable experience designing and operating ML systems in production (not just training models in notebooks), including familiarity with serving patterns (e.g., Airflow, Dagster) and cloud-native ML platforms (e.g., AWS SageMaker, GCP Vertex AI)
Familiarity with data engineering fundamentals (SQL, distributed data processing) to debug and optimize data flows
A proactive mindset to automate manual processes and a passion for improving the developer experience for Data Scientists
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
Inclusion, Diversity & Belonging
We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.