Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and enhance scalable ML infrastructure for innovative food delivery solutions.
- Company: Leading UK food delivery platform with a focus on innovation.
- Benefits: Competitive salary, engaging work culture, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of ML and generative AI in food delivery.
- Qualifications: 3+ years in ML platform engineering, strong Python skills, and cloud infrastructure expertise.
- Other info: Collaborative environment with a focus on cutting-edge technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading food delivery platform in the UK seeks an experienced ML Platform Engineer to design and enhance scalable machine learning infrastructure. The role involves collaboration with data scientists and engineers to support ML and generative AI initiatives.
Candidates should bring over 3 years of experience in ML platform engineering, a strong software engineering foundation, and expertise in Python, cloud infrastructure, and MLOps practices.
The position offers an engaging work culture focused on innovation and team collaboration.
Senior ML Platform Engineer: GenAI & Scale in London employer: talabat
Contact Detail:
talabat Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Engineer: GenAI & Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects or contributions to open-source. This is your chance to demonstrate your expertise in Python and MLOps practices.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you’ve collaborated with data scientists and engineers in the past.
✨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 are proactive about their job search.
We think you need these skills to ace Senior ML Platform Engineer: GenAI & Scale in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your experience in ML platform engineering. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills in Python, cloud infrastructure, and MLOps practices.
Tailor Your Application: Take a moment to customise your application for this specific role. We love seeing candidates who understand our needs and can demonstrate how they can contribute to our generative AI initiatives and scalable machine learning infrastructure.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our innovative work culture.
How to prepare for a job interview at talabat
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning concepts and practices. Be ready to discuss your experience with scalable ML infrastructure, as well as any specific projects you've worked on that relate to generative AI. This will show your depth of knowledge and how you can contribute to their initiatives.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data scientists and engineers, be prepared to share examples of how you've successfully collaborated in the past. Highlight any team projects where your contributions made a significant impact, demonstrating your ability to work in an engaging and innovative environment.
✨Demonstrate Your Technical Expertise
Be ready to dive into technical discussions about Python, cloud infrastructure, and MLOps practices. Prepare to explain your approach to building and maintaining ML platforms, and consider bringing along any relevant code samples or project documentation to showcase your skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's ML initiatives and their future plans. This not only shows your genuine interest in the role but also gives you a chance to assess if the company culture aligns with your values, especially regarding innovation and teamwork.
