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- Tasks: Lead the design of ML platforms and drive cloud-native solutions.
- Company: A top Ed-Tech company in London with an inclusive culture.
- Benefits: Competitive salary, health insurance, and a supportive work environment.
- Why this job: Shape the future of education technology while working with cutting-edge ML systems.
- Qualifications: 8+ years in data platforms and strong cloud service expertise.
- Other info: Join a dynamic team focused on innovation and growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading Ed-Tech company in London is seeking a Staff ML & Data Engineer to own their ML platform. You will design systems to enable seamless transitions from research to production across clouds. The ideal candidate has over 8 years of experience in data platforms and strong cloud service knowledge, with responsibilities including leading technical direction for CI/CD processes and driving cloud-native solutions. This role offers a competitive financial package, health insurance, and an inclusive work culture.
Staff ML Platform Architect & Ops Lead in City of London employer: Preply Inc.
Contact Detail:
Preply Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Platform Architect & Ops Lead in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the Ed-Tech space, especially those working with ML platforms. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects related to ML and cloud services. This is your chance to demonstrate how you can design systems that make transitions from research to production seamless.
✨Tip Number 3
Prepare for technical interviews by brushing up on CI/CD processes and cloud-native solutions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff ML Platform Architect & Ops Lead in City of 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 expertise in ML platforms and cloud services, as we want to see how you can contribute to our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about Ed-Tech and how your background aligns with our mission. Share specific examples of your past work that demonstrate your ability to lead technical direction and drive cloud-native solutions.
Showcase Your Projects: If you've worked on relevant projects, don't hesitate to include them in your application. We love seeing real-world applications of your skills, especially those that involve seamless transitions from research to production.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. This way, we can ensure your application gets the attention it deserves and you can easily track its progress.
How to prepare for a job interview at Preply Inc.
✨Know Your Stuff
Make sure you brush up on your knowledge of ML platforms and cloud services. Be ready to discuss your past experiences in designing systems for seamless transitions from research to production. This is your chance to showcase your expertise!
✨Showcase Your Leadership Skills
As a Staff ML Platform Architect & Ops Lead, you'll need to demonstrate your ability to lead technical direction. Prepare examples of how you've successfully led CI/CD processes or driven cloud-native solutions in previous roles. Highlighting these experiences will set you apart.
✨Cultural Fit Matters
This role is in an inclusive work culture, so be prepared to discuss how you contribute to a positive team environment. Share examples of how you've collaborated with others and fostered inclusivity in your past positions. It’s all about showing you’re a team player!
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision for their ML platform and how they approach challenges in transitioning from research to production. This shows your genuine interest and helps you assess if it’s the right fit for you.
