Senior Machine Learning Engineer

Sonos; Glasgow; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in Glasgow seeks a Senior Machine Learning Engineer to pioneer machine learning innovations in their product ecosystem. The successful candidate will design, develop, and deploy scalable ML models, leading initiatives and mentoring junior engineers. Applicants should possess strong programming skills, significant experience in machine learning, and the ability to work cross-functionally. This full-time role requires regular office attendance, and candidates must live within commuting distance of the Glasgow office.

Qualifications

• 3+ years of experience in applied machine learning or data science.
• Experience building, deploying, and maintaining end-to-end machine learning workflows.
• Ability to adapt to new tools and technologies quickly.

Responsibilities

• Design, develop, and deploy scalable machine learning models.
• Lead machine learning initiatives using product and customer data.
• Mentor junior machine learning engineers.

Skills

Python programming

Machine learning frameworks (TensorFlow, PyTorch)

Distributed processing (Apache Spark, Flink)

Communication skills

Education

Degree in computer science, data science, or statistics

Job description

Senior Machine Learning Engineer page is loaded## Senior Machine Learning Engineerlocations: Glasgow - Sonos Scotlandtime type: Full timeposted on: Posted Todaytime left to apply: End Date: January 30, 2026 (30+ days left to apply)job requisition id: R2589At 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.**T**his 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. We are seeking a Senior Machine Learning Engineer to help pioneer ML innovation across Sonos’ product and software ecosystem. This role will drive the design, development, and deployment of ML models that power data-driven decision-making, personalization, and customer experience intelligence.You will play a key role in building Sonos’ next generation of predictive and data-driven capabilities — from intelligent experimentation systems and customer segmentation models to predictive marketing and proactive self-help experiences. As a senior contributor, you’ll lead end-to-end ML initiatives, mentor junior engineers, and collaborate cross-functionally with Data Analysts, Data Engineers, and business teams in Software, Product, Marketing, and CX.****What You’ll Do***** Design, develop, and deploy scalable machine learning models across experimentation, personalization, and customer intelligence domains.* Lead machine learning initiatives using product and customer data.* Partner with Software, Product, Marketing, and CX teams to identify opportunities for machine learning driven innovation and measurable impact.* Contribute to the design of machine learning infrastructure, pipelines, and deployment frameworks in collaboration with Data Engineering.* Drive best practices in the development, deployment, and continuous improvement of machine learning solutions.* Mentor and guide junior machine learning engineers.* Translate business challenges into machine learning solutions that improve product experience and customer engagement.****What You’ll Need******Basic Qualifications*** A degree in computer science, data science, statistics, or related field (or equivalent experience)* 3+ years of experience in applied machine learning or data science.* Strong programming skills in Python and proficiency with at least one major machine learning framework (e.g., TensorFlow, PyTorch, or equivalent).* Experience building, deploying, and maintaining end-to-end machine learning workflows, from experimentation to production.* Ability to adapt to new tools and technologies quickly, with a strong understanding of IoT data and machine learning infrastructure concepts.* 2+ years of experience with distributed or stream processing frameworks (e.g., Apache Spark, Apache Flink)* Proven ability to work cross-functionally with data, product, and business stakeholders.* Excellent communication skill, with the ability to explain technical concepts clearly and effectively to diverse audiences.**Preferred Qualifications:*** Strong understanding of supervised and unsupervised learning, model evaluation, and A/B testing frameworks.* Experience deploying models into production environments (AWS, GCP, or on-device).* Familiarity with semantic data modeling and data governance best practices.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.**#LI-Onsite****#LI-GJ1**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.Sonos is a sound experience company. We connect millions of listeners all around the world to the content they want, where and how they want it. Since inventing multiroom wireless audio in 2005, we have continuously innovated the listening experience, designing hardware and software that celebrates sound, empowers our customers, and brings the home to life. Our team is made up of passionate players united by a culture of respect, transparency, collaboration, and ownership who want to inspire the world to listen better.