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 being part of a dynamic team dedicated to enhancing user experiences on our cutting-edge video-first shopping platform. We prioritise employee growth through continuous learning opportunities and encourage creative problem-solving, 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 folks in the industry, especially those at Tilt or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨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 creativity beyond the CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and real-time data processing. Practise coding challenges and be ready to discuss your thought process—it's all about showing how you tackle problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Real-Time Personalisation ML Engineer — Hybrid London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with recommendation systems and any relevant machine learning projects. We want to see how your skills align with our needs, so don’t be shy about showcasing your best work!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to enhancing our personalisation systems. Let us know what makes you tick in the world of machine learning.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled technical challenges autonomously. We love seeing how you approach problems and come up with innovative solutions, especially in real-time environments.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 like Tilt.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of technical challenges you've faced and how you navigated them. This role requires autonomy, so demonstrating your ability to tackle issues head-on will impress the interviewers.
✨Collaborate and Communicate
Since you'll be working closely with various teams, practice articulating your ideas clearly. Think about how you can convey complex ML concepts in an understandable way, showing that you're a team player who values collaboration.
✨Research Tilt's Platform
Familiarise yourself with Tilt's video-first shopping platform and its current personalisation features. Being able to discuss what you like or think could be improved will show your genuine interest in the company and the role.
