Just Eat Takeaway.com

Machine learning engineer for delivery platforms

In short

This role builds and deploys machine learning solutions for logistics and forecasting on a large-scale online delivery platform, within a Data Science team under a Product and Tech group of over 2200 people. It requires strong ML and real-time data streaming experience, solid Python engineering skills, and hands-on work with cloud services, microservices, event-driven architecture, and Kubernetes. The company is a global online delivery platform connecting customers with restaurant, grocery and convenience partners.

About
Just Eat Takeaway.com is a leading global online delivery platform. 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 Machine Learning Engineer with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers.
Responsibilities
•Researching, implementing, and deploying innovative ML techniques applicable to logistics problems.
•Scaling and transferring novel machine learning solutions to improve our decision making processes and solutions in their different product use cases.
•Implementing and launching Data Science applications that coordinate with front facing solutions; constant improvements using performant and efficient ML models.
•Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope.
Requirements
•Strong experience in Machine Learning, developing real time data streaming technologies for forecast or logistics products.
•Strong coding and software engineering skills in Python.
•Able to work independently and solve complex problems, with a demonstrated ability to productise and deploy using cloud services (e.g. Amazon Web Services, Google Cloud Platform).
•Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns.
•Familiarity with tools and packages including Kubernetes (deployment in production) is expected.
•Experience collaborating closely with multi-functional teams, driving forward best practices.
Nice to have
•Additional experience with Airflow/Mlflow/Docker/Flink.
•Real-time production systems at scale (millions of requests/transactions per day) is desirable.
Conditions
No conditions stated in the posting.

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot