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Added 9 mins ago
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Full-time
Executing menu items according to company specifications in both prep and line areas
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Compass Group Canada
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Princeton, BC
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Bar George
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Full-time
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Server
3G4 Archive Hospitality
Toronto, ON
Up to $18.95 CAD / hour
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Share your menu knowledge to assist guests with questions and special requests
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Up to $17.95 CAD / hour
Full-time
Prepare sushi and other menu items according to company recipes and quality standards.

Takeaway

Senior Machine Learning Engineer

Edmonton, AB, T6E 0C2, Canada

Job type: Full-time
Posting language: English
Posted: Sep 20, 2026

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Original 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.

About this role:

As a Senior ML 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.

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.

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.

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.

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More about this job

Responsibilities

You will lead the strategic direction of machine learning infrastructure and oversee the development of scalable, high-performance ML pipelines. Additionally, you will mentor mid-level engineers and collaborate with cross-functional teams to translate complex technical concepts into actionable business insights.

Requirements

The role requires expert-level proficiency in cloud technologies, containerization, and MLOps best practices within production environments. Candidates must have significant experience with data engineering, stream processing, and orchestration tools like Airflow or Dagster.

Skills

Machine Learning
Cloud Technologies
AWS
Kubernetes
DevOps
MLOps
Python
SQL
MLflow
Airflow
Dagster
Data Engineering
Kafka
Stream Processing
Software Development
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Cloud Technologies
AWS
Containerization
Kubernetes
DevOps
MLOps
Python
SQL
MLflow
Airflow
Dagster
Data Engineering
Kafka
Stream Processing
Software Development
Predictive Platforms
Infrastructure
Scalability
Technical Leadership
Code Reviews
Stakeholder Management
Production Environments
Model Deployment
Optimization
Online Food Delivery
Strategic Direction
Mentorship
Continuous Learning
Cross-functional Collaboration

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