Senior Machine Learning Engineer in Glasgow

We are building the ultimate listening experience and need an ML leader to pioneer data‑driven innovation across our product ecosystem.

Location & Office: Home office – Glasgow, Scotland. Office‑based, minimum 4 days per week. Applicants must live within commutable distance of our Glasgow office.

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 cross‑functional 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 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.

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).
• 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 skills, 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.

Visa Sponsorship: Sonos is unable to sponsor or take over sponsorship of an employment visa for this role at this time. Applicants must be authorized to work for any UK employer, now or in the future. If you don’t meet all listed skills, we strongly encourage you to apply if interested.