Senior Machine Learning Engineer

Takeaway.com; Amsterdam; Hybrid; EUR 95,000 - 150,000; Full time

Job summary

Just Eat Takeaway.com seeks a Senior Machine Learning Engineer to lead the strategic direction of ML infrastructure and drive scalable, production-ready solutions.

You will mentor mid-level ML engineers, collaborate with Data Scientists, and oversee real-time and batch inference pipelines that power our predictive platforms.

Qualifications

• Expert-level cloud and containerization experience, production ML focus.
• Strong Python/SQL and data engineering understanding.
• Experience deploying ML models in production with MLOps practices.

Responsibilities

• Lead the strategic direction of ML infrastructure.
• Architect real-time and batch inference systems.
• Mentor mid-level ML Engineers and drive code quality.

Skills

AWS

Kubernetes

Python

SQL

DevOps

MLOps

Kafka

Airflow

Dagster

MLflow

Model Deployment

Tools

Airflow

Dagster

MLflow

Job description

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.

Full time

About this role:

As a Senior Machine Learning Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement.

You will drive the development of cutting-edge solutions that enhance the performance, scalability, and reliability of our machine learning systems. In 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 also be responsible for architecting and overseeing the development of complex machine learning pipelines, managing both real-time and batch inference systems that are integral to our predictive platforms. You will work closely with cross-functional teams to anticipate future needs, recommending and implementing long-term solutions that align with our business objectives.

As a senior member of the team, you will mentor and guide mid-level Machine Learning Engineers, providing technical leadership and helping to shape best practices across the organisation. Your expertise will play a key role in conducting comprehensive code reviews, identifying areas for improvement, and fostering a culture of continuous learning and collaboration.

Location & Work Model:

• Canada: Fully Remote
• Europe: Hybrid (3 days on-site in our offices, 2 days remote) — Open to candidates based in Amsterdam, Berlin, or London, UK

Available in 4 locations

These are some of the key ingredients to the role:

• As a senior member of the team, you will mentor and guide mid-level Machine Learning Engineers, providing technical leadership and helping to shape best practices across the organisation. Your expertise will play a key role in conducting comprehensive code reviews, identifying areas for improvement, and fostering a culture of continuous learning and collaboration.
• Beyond technical execution, you will be expected to communicate effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable business insights. You will present innovative solutions to key stakeholders, making compelling cases for new initiatives and guiding the strategic direction of our machine learning efforts.
• Finally, you will lead the integration of new technologies and tools into our infrastructure, staying ahead of industry trends and ensuring that our machine learning frameworks remain at the cutting edge of technological advancements.

What will you bring to the table?

• Expert-level proficiency with cloud technologies (ideally AWS) and extensive experience with containerization and orchestration (preferably Kubernetes).
• Deep understanding of software development, DevOps, and MLOps best practices, with a proven track record of applying them in production.
• Extensive experience in designing, deploying, and maintaining scalable models and services in production environments.
• Strong understanding of Machine Learning, with the ability to collaborate deeply with Data Scientists on model deployment and optimization.
• Experience with MLflow for experiment tracking and model management, and Airflow or Dagster for orchestrating end-to-end ML pipelines and workflows.
• Significant experience with Data Engineering, Kafka, and stream processing.
• Proficiency in Python and SQL; or any other programming languages is a strong plus.

At JET, this is on the menu:

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.

Note: All employees will be asked to sign a Consent for Disclosure of Personal Information in order to complete a background check. Job offers will be conditional upon results that the Company determines to be satisfactory.