Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and scale ML systems that deliver personalised recommendations to millions.
- Company: Leading tech company based in Greater London with a global reach.
- Benefits: Full-time role with visa sponsorship and the freedom to work from anywhere.
- Other info: Flexible work environment with opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on user experiences worldwide.
- Qualifications: Mid to senior level experience in production ML systems and strong coding skills.
The predicted salary is between 60000 - 80000 £ per year.
A leading technology company in Greater London is looking for a Machine Learning Engineer specializing in Personalization. You will build and scale systems that power recommendations for millions of users. The role requires mid to senior level experience in production ML systems and strong skills in Python, Java, Scala, and various ML frameworks. This is a full-time position with visa sponsorship and the flexibility to work from anywhere.
Senior ML Engineer, Personalization - Work from Anywhere employer: Software Careers
Contact Detail:
Software Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, Personalization - Work from Anywhere
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to personalization. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python, Java, and Scala. Practice common ML algorithms and be ready to discuss your past experiences with production ML systems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior ML Engineer, Personalization - Work from Anywhere
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with production ML systems and your proficiency in Python, Java, and Scala. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention specific projects or experiences that relate to building and scaling recommendation systems. This helps us see why you’re a great fit!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to understand your journey and achievements.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Software Careers
✨Know Your ML Frameworks
Make sure you brush up on the specific ML frameworks mentioned in the job description. Be ready to discuss your experience with them and how you've applied them in real-world scenarios. This shows that you’re not just familiar with the theory but have practical skills too.
✨Showcase Your Coding Skills
Since strong skills in Python, Java, and Scala are essential, prepare for a coding challenge or technical questions. Practice coding problems related to machine learning algorithms and data structures. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Prepare for System Design Questions
As you'll be building and scaling systems, expect questions about system design. Think about how you would architect a recommendation system from scratch. Be ready to discuss trade-offs, scalability, and performance considerations. This will demonstrate your ability to think critically about complex problems.
✨Cultural Fit and Remote Work Readiness
Since this role offers the flexibility to work from anywhere, be prepared to discuss how you manage your time and stay productive in a remote environment. Companies value candidates who can thrive independently, so share your strategies for effective communication and collaboration in a distributed team.