At a Glance
- Tasks: Create algorithms to enhance user experience on our video-first shopping platform.
- Company: Tilt, a forward-thinking company revolutionising online shopping.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and real-time solutions.
- Why this job: Join us to shape the future of personalisation in e-commerce with cutting-edge technology.
- Qualifications: Experience in building recommendation systems and strong problem-solving skills.
The predicted salary is between 60000 - 80000 € per year.
Tilt is seeking a Machine Learning Engineer to enhance our personalisation systems. You will be responsible for creating algorithms that improve user experience across our video-first shopping platform. The role requires expertise in building recommendation systems and the ability to navigate technical challenges autonomously. With a hybrid working model, you'll collaborate closely with various teams to push the boundaries of real-time recommendations.
Real-Time Personalisation ML Engineer — Hybrid London employer: Tilt
Tilt is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about machine learning and personalisation. With a hybrid working model based in London, employees enjoy the flexibility of remote work while engaging with diverse teams to drive impactful projects. We prioritise employee growth through continuous learning opportunities and a commitment to pushing the boundaries of technology, making Tilt a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Personalisation ML Engineer — Hybrid London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Tilt or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work on recommendation systems or any relevant projects. This is your chance to demonstrate your expertise and passion for personalisation in a tangible way.
✨Tip Number 3
Prepare for technical challenges! Brush up on your algorithms and machine learning concepts. Being ready to tackle real-time problems during interviews will set you apart from the competition.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. It shows initiative and enthusiasm, which we really value at Tilt.
We think you need these skills to ace Real-Time Personalisation ML Engineer — Hybrid London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with recommendation systems and any relevant projects you've worked on. We want to see how you can enhance our personalisation systems!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific skills and experiences that align with the job description. It helps us see why you're the perfect fit for the role.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your qualifications.
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’re considered for the role without any hiccups!
How to prepare for a job interview at Tilt
✨Know Your Algorithms
Brush up on your knowledge of recommendation systems and algorithms. Be ready to discuss specific techniques you've used in the past, as well as how they can be applied to enhance user experience on a video-first platform.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of technical challenges you've faced and how you navigated them. Tilt values autonomy, so demonstrating your ability to tackle issues independently will impress the interviewers.
✨Collaborate and Communicate
Since the role involves working closely with various teams, practice articulating your ideas clearly. Think about how you can effectively communicate complex ML concepts to non-technical stakeholders.
✨Research Tilt's Approach
Familiarise yourself with Tilt's current personalisation systems and any recent developments in their technology. Showing that you've done your homework will demonstrate your genuine interest in the company and the role.
