Sonos, Inc.
Junior Machine Learning Engineer
Sonos, Inc.United Kingdom12 hours ago
Full-timeEngineering, Information Technology
At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you’ll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.

This role is an office based position

This position is office-based, meaning regular in-person collaboration or use of office equipment is essential to maximize effectiveness for this team and position. Qualified applicants must live within commuting distance of our Glasgow office location and should expect to be in office a minimum of 4 days per week.

At Sonos data helps us build a better business, a better product and ultimately helps us make happier customers. By understanding how our customers listen in their homes (and beyond), the Product Data team uses data to guide and influence the product direction and improve the customer experience.

Sonos is looking for a Machine Learning Engineer to join the Product Data team and contribute to building innovative, data-driven solutions that enhance customer experiences and product intelligence.

You will work alongside engineers and analysts to develop machine learning models that power experimentation, personalization, and proactive customer insights. This is an excellent opportunity for someone early in their machine learning career to gain hands-on experience developing and deploying real-world solutions for a global consumer technology brand.

What You’ll Do

  • Collaborate with other machine learning engineers on the development and deployment of machine learning models across product and customer intelligence initiatives.
  • Work with Data Analysts to understand data patterns, user behaviors, and analytical insights that inform model development.
  • Partner with Data Engineers to gain hands-on experience in designing and maintaining scalable machine learning pipelines and data workflows.
  • Collaborate cross-functionally with Product, Marketing, and CX teams to contribute to data-driven initiatives and foster cross-team learning.
  • Support model performance evaluation and refinement, ensuring reliability, scalability, and continuous improvement.
  • Learn and apply machine learning engineering practices, contributing to documentation, versioning, and lifecycle management.
  • Explore and adapt new tools, technologies, and methods to improve the efficiency and effectiveness of machine learning solutions.
  • Work in a collaborative, cross-functional environment that values innovation, curiosity, and continuous learning.


What You’ll Need

Basic Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical field (or equivalent practical experience).
  • 0-1 years of experience (including internships) in Machine Learning, Data Science, or Software Engineering.
  • Strong programming skills in Python and an understanding of core machine learning principles and model development.
  • Familiarity with data manipulation and processing using modern analytical or engineering tools.
  • Demonstrated ability to learn and adapt to new technologies and frameworks quickly.
  • Strong problem-solving skills with a passion for machine learning, data, and scalable engineering systems.
  • Excellent communication and collaboration skills, with the ability to work effectively across technical and business teams.


Preferred Qualifications:

  • Exposure to cloud platforms (e.g., AWS, GCP, Azure) or data pipeline tools.
  • Experience with distributed or stream processing frameworks
  • Experience using real-world large scale IoT datasets or telemetry data.


Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. If you don’t have 100% of the skills listed, we strongly encourage you to apply if interested.

Visa Sponsorship: Sonos is unable to sponsor or take over sponsorship of an employment visa for this role at this time. We ask that applicants be authorized to work for any UK employer, both now and in the future.

Your profile will be reviewed and you'll hear from us once we have an update. At Sonos we take the time to hire right and appreciate your patience.

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