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- Tasks: Lead the design of ML systems and drive cloud-native solutions for seamless transitions.
- Company: A top Ed-Tech company in London with an inclusive work culture.
- Benefits: Competitive salary, health insurance, and a supportive environment.
- Why this job: Shape the future of education technology while working with cutting-edge ML platforms.
- Qualifications: 8+ years in data platforms and strong cloud service expertise.
The predicted salary is between 43200 - 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 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the Ed-Tech and ML space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native solutions and CI/CD processes. This will give us a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with data platforms and how you've tackled challenges in transitioning from research to production.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Staff ML Platform Architect & Ops Lead 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 expertise in data platforms and cloud services, as we want to see how you can own our ML platform.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the role. Share specific examples of your past work that align with leading technical direction and driving cloud-native solutions.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! We’re looking for someone with strong knowledge in CI/CD processes, so make sure to mention any relevant 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 during the process.
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 that transition from research to production. We recommend preparing specific examples that showcase your expertise and how you've tackled challenges in previous roles.
✨Showcase Your Leadership Skills
As a Staff ML Platform Architect & Ops Lead, you'll need to demonstrate your ability to lead technical direction. Think about times when you've successfully guided a team or project. We suggest preparing anecdotes that highlight your leadership style and how you drive CI/CD processes and cloud-native solutions.
✨Understand the Company Culture
This role is with a leading Ed-Tech company, so it's crucial to align with their inclusive work culture. Research the company's values and be ready to discuss how you can contribute to fostering an inclusive environment. We believe showing genuine interest in their culture can set you apart from other candidates.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions. Ask about their current ML platform challenges or how they envision the future of their data engineering team. We find that asking insightful questions not only shows your interest but also helps you gauge if the company is the right fit for you.
