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- Tasks: Enhance customer experience using machine learning for automated support and fair compensation.
- Company: Leading food delivery service with a focus on innovation.
- Benefits: Competitive salary, personal growth opportunities, and impactful work.
- Why this job: Join a dynamic team and make a real difference in customer support.
- Qualifications: 5+ years in machine learning and Python programming.
- Other info: Exciting projects and a collaborative environment await you.
The predicted salary is between 48000 - 72000 £ per year.
A leading food delivery service is seeking a Senior Machine Learning Engineer to join their Care team in London. The role involves enhancing customer experience through machine learning solutions that support automated customer support and fair compensation decisions.
Ideal candidates have over 5 years of experience in machine learning and Python programming, and will actively contribute to innovative projects in a dynamic environment. The position offers opportunities for personal growth and impactful work.
Senior ML Engineer – Care AI for Trust & Support in London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer – Care AI for Trust & Support in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We want to see your Python prowess and how you've tackled real-world problems. This is your chance to shine!
✨Tip Number 3
Prepare for the interview like it’s the championship game! Brush up on common ML concepts and be ready to discuss your past experiences. We’re looking for candidates who can think on their feet and bring innovative ideas to the table.
✨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 – Care AI for Trust & Support in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in machine learning and Python programming. We want to see how your background aligns with the role, so don’t hold back on those impressive projects you've worked on!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills can enhance customer experience through machine learning solutions, just like we aim to do at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for the role shines through without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our Care team.
How to prepare for a job interview at Deliveroo
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your past projects in detail, especially those that relate to customer support or compensation decisions. This will show your depth of knowledge and how you can apply it to the role.
✨Python Proficiency is Key
Since Python programming is a must-have for this position, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with libraries like TensorFlow or PyTorch, as they could come up in conversation.
✨Show Your Innovative Side
This role is all about enhancing customer experience, so think of innovative solutions you've implemented in the past. Be ready to share examples of how your work has positively impacted user experience or streamlined processes. This will highlight your ability to contribute to dynamic projects.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company's approach to machine learning and their vision for the Care team. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
