Senior Machine Learning Engineer

As a Senior ML Engineer within the Logistics domain, you will drive the development of cutting-edge solutions that enhance the performance, scalability, and reliability of our machine learning systems. Working in close collaboration with the Data Science team, you will ensure that models are deployed seamlessly, optimised for production environments, and meet the highest standards of efficiency and accuracy at scale.

You will be responsible for managing both real-time and batch inference systems that are integral to our predictive platforms. Working closely with cross-functional teams, you will anticipate future needs, recommending and implementing long-term solutions that align with our business objectives. Beyond technical execution, you will communicate effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable business insights.

This role offers the opportunity to provide technical leadership and help shape best practices across the organisation, ensuring our machine learning frameworks remain at the cutting edge of technological advancements while delivering measurable value to our logistics operations.

• Architecting and overseeing the development of complex machine learning pipelines for relevant logistics sub-domains
• Implementing and launching Data Science applications with constant improvements using performant and efficient ML models
• Managing both real-time and batch inference systems that are integral to our predictive platforms
• Providing technical leadership and helping to shape best practices across the organisation
• Leading the integration of new technologies and tools into our infrastructure, staying ahead of industry trends
• Ensuring machine learning frameworks remain at the cutting edge of technological advancements
• Collaborating with cross-functional teams to anticipate future needs and recommend long-term solutions that align with business objectives
• Communicating effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable business insights
• Optimising models for production environments to meet the highest standards of efficiency and accuracy at scale
• Working closely with Data Science teams to ensure seamless model deployment and continuous improvement

Position: Senior Machine Learning Engineer - Logistics
Department: Logistics
Reporting to: Data Science Manager
Location: Amsterdam, London, UK, Berlin
Hybrid role: 3 days a week from our office & 2 days working from home
Full time / Part time role: Full time

Expected hours of work: Monday - Friday 37.5 hours

Then Just Eat Takeaway.com might be the place for you. 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.

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.

Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side.

At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again.

Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition.

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.

Are you ready to join the team? Apply now!