Machine Learning Engineer

Just Eat Takeaway.com; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Just Eat Takeaway.com is hiring a Machine Learning Engineer in Berlin. You will join the Estimations team to design, build, and productionize ML systems that optimize logistics and pricing. The role blends on-site collaboration in Berlin with a hybrid pattern involving the London office.

You will work on real-time data pipelines, scalable ML models, and cloud deployments, partnering with data science, engineering, and product teams to improve ETA accuracy and operational efficiency.

Qualifications

• Experience implementing ML models for logistics and forecasting.
• Strong Python coding and software engineering skills.
• Experience deploying ML systems in cloud environments (AWS/GCP).
• Background in microservices and event-driven architectures.
• Familiarity with Kubernetes deployment in production.

Responsibilities

• Design, build, and productionize ML systems for logistics.
• Develop solutions to supply and demand challenges.
• Optimize logistics algorithms to improve ETA predictions and pricing.
• Create scalable data pipelines and evaluation frameworks.
• Collaborate with cross-functional teams to ship ML features.

Skills

Machine Learning

Python

Cloud deployment

ML pipelines

Distributed systems

Tools

Kubernetes

Docker

Airflow

Mlflow

Flink

Job description

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

Ready for a challenge?

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.

About this role

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 work with brilliant people with world class knowledge, and a passion for sharing knowledge and solving interesting and complex problems. 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. From predicting ETAs to solving pricing problems, our ML pipelines form the backbone of our delivery operations.

These are some of the key components to the role:

• 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.

What will you bring to the team?

• 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. A plus would be additional experience with Airflow/Mlflow/Docker/Flink.


• Experience collaborating closely with multi-functional teams, driving forward best practices.


• Real-time production systems at scale (millions of requests/transactions per day) is desirable.

At JET, this is how we play

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.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. 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.

What else are we delivering?

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.