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Open nowPosted 15 days ago

Senior Machine Learning Engineer

takeaway126 open roles

Where
Fleet Place Office
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Your applicationOpen nowSenior Machine Learning Engineertakeaway · Fleet Place Office

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market. takeaway postings stay open a median of 11 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 15 days ago

takeaway median: 11 days open

The posting

Position: Senior Machine Learning Engineer Department: Growth & Customer Experience Engineering Reporting to: Technology Manager Location: Bristol/London Hybrid role: 3 days a week from office & 2 days working from home Full time / Part time role: Full time

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

We are looking for a Senior Machine Learning Engineer to join a cross functional team, focussing on growing our product algorithmic recommendations within Just Eat Takeaway.com.

Your team will focus on evolving existing machine learning and AI capabilities across the platform, improving those capabilities, and innovating new ones for the future.

As a Senior Engineer you will drive our architecture, write highly scalable and testable code, mentor engineers and challenge our teams to strive for excellence. You will work closely with a large number of teams, both internal and external, with inner-sourced development our standard way of working.

Ownership is one of the core engineering principles in our organisation - we write it and we own it. Engineers are expected to take responsibility for their work from discovery to production, ensuring the ongoing reliability and stability of our systems.

This role offers you the opportunity to lead, deliver, and care for cutting-edge ML systems that impact millions of customers daily.

These are some of the key components to the position:

  • Collaborate extensively with Data Scientists, Product Managers, and Backend Engineers to bridge the gap between model development and production systems
  • Lead the architectural design of end-to-end ML systems, from data ingestion and training pipelines to real-time inference and monitoring infrastructure
  • Transform innovative data science prototypes into robust, scalable, and secure production software, taking ownership of the 'path to production'
  • Drive the adoption of MLOps best practices (CI/CD for ML, model versioning, feature stores) to accelerate the feedback loop for Data Scientists
  • Effectively communicate the complexities of ML systems (e.g., latency vs. accuracy trade-offs) to technical and non-technical stakeholders
  • Build and maintain a strong network across the Data and Engineering organizations to ensure ML systems integrate seamlessly with the wider platform
  • Lead projects, mentor peers, and advocate for engineering excellence within the data science domain

What will you bring to the team?

  • Proficiency in Python and a strong understanding of software engineering principles (OO design, patterns, testing) applied to Machine Learning
  • Demonstrable experience designing and operating ML systems in production (not just training models in notebooks), including familiarity with serving patterns (e.g., REST APIs, batch inference, event-driven)
  • Experience with orchestration tools (e.g., Airflow, Dagster) and cloud-native ML platforms (e.g., AWS SageMaker, GCP Vertex AI)
  • Ability to influence decision-making regarding infrastructure and tooling, balancing 'build vs. buy' discussions
  • Strong knowledge of Infrastructure as Code (Terraform) and containerization (Docker/Kubernetes)
  • Familiarity with data engineering fundamentals (SQL, distributed data processing) to debug and optimize data flows
  • A proactive mindset to automate manual processes and a passion for improving the developer experience for Data Scientists

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.

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 join the team? Apply now!

#KF-LI1

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