At a Glance
- Tasks: Design and build machine learning systems to enhance user personalization.
- Company: Join Deepstreamtech, a leading tech company in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with cross-functional teams and exciting projects.
- Why this job: Make a real impact on millions of users with innovative personalization features.
- Qualifications: Experience in machine learning, data, and backend engineering required.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech in Greater London is seeking an experienced professional to join the Personalization team. In this role, you will design and build machine learning systems that enhance personalization for users, develop optimization strategies, and collaborate closely with cross-functional partners including product and engineering teams.
A background in machine learning, data, and backend engineering is essential, along with experience in production-grade systems and scalability. This position offers an exciting opportunity to impact millions of users and contribute to Spotify's core personalization features.
Senior Personalization ML Engineer in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from extensive growth opportunities within the tech industry, alongside competitive remuneration and a commitment to work-life balance. Joining our Personalization team means being part of a forward-thinking company that values your contributions and empowers you to make a significant impact on millions of users.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Personalization ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Deepstreamtech or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any optimization strategies you've developed. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as you'll need to collaborate with product and engineering teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Personalization ML Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in machine learning and backend engineering. We want to see how you've tackled real-world problems and built production-grade systems that scale.
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the job description. Mention specific projects or experiences that align with our focus on personalization and collaboration with cross-functional teams.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you’re a great fit for the role!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Deepstreamtech
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with production-grade systems and how you've tackled scalability issues in the past. This is your chance to showcase your expertise!
✨Showcase Collaboration Skills
Since you'll be working closely with product and engineering teams, prepare examples of how you've successfully collaborated in previous roles. Highlight any cross-functional projects you've been part of and how you contributed to their success.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your knowledge of backend engineering and optimization strategies. Practise explaining complex concepts in a simple way, as this will demonstrate your understanding and ability to communicate effectively.
✨Impact on Users
Think about how your work can impact millions of users. Be ready to discuss specific examples of how your machine learning solutions have enhanced user experiences in the past. This will show your passion for personalisation and your commitment to making a difference.
