At a Glance
- Tasks: Own and evolve Preply's ML platform, focusing on architecture and hands-on engineering.
- Company: Join Preply, a leading platform transforming learning experiences worldwide.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge technology.
- Why this job: Make a significant impact on learners and tutors globally with innovative ML solutions.
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML platforms and cloud solutions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML and cloud-related questions so you can impress them with your expertise.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about making an impact in the ML space.
We think you need these skills to ace Staff ML Platform & Cloud Ops Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your 8+ years of experience with large-scale Data/ML platforms and any relevant cloud-native solutions you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about ML and how you can contribute to evolving our platform. Share specific examples of past projects that align with the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t forget to include any technical skills or tools you’ve used that are relevant to the role. Mention your experience with deployment pipelines and ML workflows to demonstrate your hands-on engineering capabilities.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 Matter
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 in ML can impact users positively. Prepare to discuss your vision for how you can enhance the learning experience through technology, which will resonate well with the company's mission.
