-
View all jobs
Ready for a challenge?
Then Just Eat Takeaway.com might be the place for you. 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.
About This Role
As a ML Engineer you will be at the forefront of machine learning initiatives, supporting the Data Science team by providing and maintaining essential infrastructure. You will collaborate with a Data Scientist to deploy, maintain and refine Machine Learning models for fast, reliable and scalable predictions within the Logistics organisation.
These are some of the key ingredients to the role:
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.
Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we 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 morsels.
Are you ready to take your seat? Apply now!
Then Just Eat Takeaway.com might be the place for you. 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.
About This Role
As a ML Engineer you will be at the forefront of machine learning initiatives, supporting the Data Science team by providing and maintaining essential infrastructure. You will collaborate with a Data Scientist to deploy, maintain and refine Machine Learning models for fast, reliable and scalable predictions within the Logistics organisation.
These are some of the key ingredients to the role:
- Provide and maintain essential infrastructure.
- Develop and manage pipelines and inference services for real-time and batch processing use cases, ensuring efficiency and robustness.
- Define and implement best practices for machine learning engineering, sharing expertise and conducting peer reviews to uphold high-quality standards.
- Work closely with Product Owners, Developers, and Data Scientists to align predictive solutions with broader business objectives.
- Provide technical recommendations that maximize the impact of predictive models within the organization.
- Communicate insights effectively to peers and stakeholders using clear verbal and visual methods.
- Leverage state-of-the-art technologies to innovate and deliver solutions with tangible impacts on real-world logistics applications.
- Proficient with cloud technologies (ideally AWS) and experience with containerization and orchestration (preferably Kubernetes).
- Strong knowledge of software development and DevOps/MLOps best practices, with experience applying them in production.
- Proficiency in Python and SQL, with additional experience in Go being advantageous.
- Ability to generate and validate ideas with PoCs and build them into functional components.
- Collaborative mindset, working closely with other engineers, Data Scientists, and Product Owners.
- Strong critical analysis of architectural approaches and underlying assumptions.
- Preference for simple, effective solutions in technical execution.
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.
Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we 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 morsels.
Are you ready to take your seat? Apply now!
Key Skills
Ranked by relevance
machine learning
containerization
python
cloud
sql
aws
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Software Engineer
2026-05-24
Full-time
Not Applicable
United Kingdom
Software Development
Engineering
View Job Details
Related
Full-Stack Engineer
2026-05-29
Full-time
Not Applicable
Germany
Technology
Engineering
View Job Details
Related
Junior Software Engineer
2026-04-09
Full-time
Not Applicable
United Kingdom
Software Development
Engineering
Login to Apply
- Posted
- Jan 30, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Berlin
- Company
- Just Eat Takeaway.com
Industries
Software Development
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Software Engineer
2026-05-24
Full-time
Not Applicable
United Kingdom
Software Development
Engineering
View Job Details
Related
Full-Stack Engineer
2026-05-29
Full-time
Not Applicable
Germany
Technology
Engineering
View Job Details
Related
Junior Software Engineer
2026-04-09
Full-time
Not Applicable
United Kingdom
Software Development
Engineering