Machine Learning Engineer (hybrid or remote)

Position: Machine Learning Engineer Reporting to: Data Science Manager Hybrid role: 3 days a week from our London office & 2 days working from home Full/Part time: Full time We're a leading global online 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 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. You will collaboratively design, build, and productionize machine learning systems.

As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service. 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; Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope. Strong experience in Machine Learning, developing real time data streaming technologies for forecast or logistics products. Strong coding and software engineering skills in Python. Amazon Web Services, Google Cloud Platform).

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. It's a competition for something incredibly valuable – our customers' choice.