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Senior Machine Learning Engineer

Just Eat Takeaway.com
Bristol
19 hours ago
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Join to apply for the Senior Machine Learning Engineer role at Just Eat Takeaway.com.


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.


About This Role

As Senior ML Engineer in the Customer pillar, you will have the opportunity to build and shape the machine learning solutions that delight millions of customers using our apps worldwide.



  • Design, develop, release and maintain reliable, secure and scalable machine learning solutions in a cloud environment (strong preference for GCP and AWS), preferably using infrastructure as code (e.g. Terraform).
  • Build reliable, secure, and scalable data pipelines and production-ready ML pipelines that allow our data scientists to bring ML models to production quickly and responsibly.
  • Identify business and technical requirements to help define a robust data extraction & transformation process, collaborating with data science, product, and other technical teams.
  • Partner with stakeholders as a subject matter expert on ML infrastructure at scale.
  • Develop data workflow monitoring and alerting solutions that provide diagnostic & actionable information to stakeholders.
  • Ensure delivery of high-quality data engineering solutions, establishing and following best practices for development, testing, and deployment.
  • Use agile software development principles, DevOps/SRE, and MLOps practices to facilitate a bigger data science impact.
  • Work cross-functionally with Analytics Engineering, ML Engineering, and DevOps to resolve issues and standardise practices.
  • Guide and coach data scientists and junior ML Engineers to help them develop their engineering skills.
  • Be an active part of the Best Practice Ambassador community including senior data scientists & ML engineers.

What will you bring to the team?

  • Strong data/ML engineering experience preferably in machine learning-related projects.
  • Solid knowledge of Python for ML engineering applications as evidenced by earlier work in data/ML/software engineering. Able to confidently write elegant source code with minimal supervision.
  • Excellent SQL skills.
  • Demonstrable experience designing, building and orchestrating ML pipelines with tools like Airflow.
  • Comfortable working with different technologies across the software and machine learning stack for data transformation, model training (e.g. Sagemaker, Vertex AI), automation (e.g. GitHub Actions, Jenkins) and monitoring.
  • Familiar with data validation practices and standards (e.g. data testing, quality monitoring, etc).
  • Knowledge of software engineering best practices across the product development lifecycle, including coding standards, code reviews, pair programming, build processes, testing, operations, and CI/CD.
  • A caring attitude towards the personal and professional development of the wider team with an ability to upskill more junior members of the team through pairing and reviews.

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.


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!


Seniority level

  • Not Applicable

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Software Development

Bristol, England, United Kingdom 1 week ago


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