At a Glance
- Tasks: Own and evolve Preply’s ML platform, focusing on architecture and hands-on engineering.
- Company: Join Preply, a leading platform making a difference in education.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a significant impact on learners and tutors worldwide with your expertise.
- Qualifications: 8+ years of experience in large-scale Data/ML platforms and strong ML workflow understanding.
The predicted salary is between 80000 - 120000 € per year.
Preply is seeking a Staff ML & Data Engineer in London. You will own and evolve Preply’s ML platform, focusing on architecture and hands-on engineering.
Responsibilities include:
- Designing and implementing the ML platform
- Driving cloud-native solutions
- Ensuring deployment pipelines are efficient and reliable
Ideal candidates have 8+ years of experience in large-scale Data/ML platforms and a strong understanding of ML workflows. Join us to make a significant impact on learners and tutors worldwide.
Staff ML Platform & Cloud Ops Engineer employer: Preply
Preply is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer ample opportunities for professional development and the chance to work on cutting-edge ML technologies that make a real difference in the education sector. Join us to be part of a dynamic team where your contributions will directly impact learners and tutors around the globe.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Platform & Cloud Ops Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 projects, especially those related to ML platforms and cloud solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML and cloud-related questions, and don’t forget to highlight your experience with deployment pipelines!
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Tailor your application to show how your experience aligns with our mission at Preply.
We think you need these skills to ace Staff ML Platform & Cloud Ops Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML platforms and cloud-native solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML and how you can contribute to our mission at Preply. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Don’t forget to mention your hands-on engineering experience and familiarity with deployment pipelines. We’re looking for someone who can hit the ground running, so highlight any specific tools or technologies you’ve worked with.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Preply
✨Know Your ML Platforms
Make sure you brush up on your knowledge of various ML platforms and architectures. Be ready to discuss your experience with large-scale Data/ML platforms, as well as any specific projects you've worked on that demonstrate your hands-on engineering skills.
✨Cloud-Native Solutions Are Key
Since the role focuses on cloud-native solutions, be prepared to talk about your experience with cloud technologies. Highlight any specific tools or frameworks you've used, and think of examples where you've successfully implemented these solutions in previous roles.
✨Efficient Deployment Pipelines
Understand the importance of deployment pipelines in ML workflows. Be ready to share how you've designed or improved deployment processes in the past, ensuring they are efficient and reliable. This will show your potential employer that you can contribute to their goals right away.
✨Impact on Learners and Tutors
Preply is all about making a difference for learners and tutors. Think about how your work has positively impacted users in previous positions. Prepare to share stories that illustrate your commitment to enhancing user experiences through technology.
