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- Tasks: Lead the design of scalable ML models and drive data-driven innovation.
- Company: A top audio company in the UK with a focus on cutting-edge technology.
- Benefits: Competitive salary, mentorship opportunities, and a vibrant team culture.
- Why this job: Make an impact in AI and personalisation while leading innovative projects.
- Qualifications: Degree in computer science, strong Python skills, and experience with ML frameworks.
- Other info: Work from our Glasgow office and collaborate with talented professionals.
The predicted salary is between 43200 - 72000 £ per year.
A leading audio company in the UK is seeking a Senior Machine Learning Engineer to lead data-driven innovation. The role involves designing scalable ML models, collaborating with cross-functional teams, and mentoring junior engineers.
Ideal candidates should have:
- A degree in computer science
- Strong Python skills
- Experience with ML frameworks like TensorFlow or PyTorch
This position requires working from the Glasgow office at least 4 days a week, with competitive compensation offered.
Senior ML Engineer: Lead Product-Facing AI & Personalization in Glasgow employer: Sonos, Inc.
Contact Detail:
Sonos, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Lead Product-Facing AI & Personalization in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your ML projects. This is your chance to demonstrate your Python prowess and experience with frameworks like TensorFlow or PyTorch.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving ML problems on platforms like LeetCode or HackerRank. We all know that nailing those coding challenges can set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer: Lead Product-Facing AI & Personalization in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python prowess and any experience you have with ML frameworks like TensorFlow or PyTorch. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in designing scalable ML models and collaborating with teams, as these are key aspects of what we’re looking for.
Be Yourself: Let your personality shine through in your application! We value authenticity, so don’t be afraid to share your passion for AI and personalisation. It helps us get to know you better.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Sonos, Inc.
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of TensorFlow and PyTorch. Be ready to discuss specific projects where you've used these frameworks, including challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples that highlight your teamwork. Think about times when you successfully collaborated with product managers or designers to deliver a project.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Review common machine learning algorithms and be prepared to explain their applications. Practising coding problems in Python can also give you an edge.
✨Mentorship Experience Matters
As you'll be mentoring junior engineers, think of instances where you've guided others. Be ready to share your approach to mentorship and how you've helped others grow in their roles.
