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- Tasks: Build and refine machine learning platform architecture with cross-functional teams.
- Company: Leading Ed-Tech company in the heart of London.
- Benefits: Competitive salary, mentorship opportunities, and a chance to impact global learners.
- Why this job: Join a dynamic team and shape the future of education through innovative ML solutions.
- Qualifications: 8+ years in Data/ML platforms and strong communication skills.
- Other info: Exciting role with opportunities for professional growth and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading Ed-Tech company located in the City of London is seeking a Staff ML & Data Engineer to build and refine its machine learning platform architecture. The role emphasizes collaboration with cross-functional teams to enable seamless transitions from research to production, focusing on cloud-native solutions and CI/CD implementation.
Ideal candidates will possess over 8 years of experience in Data/ML platforms, excellent communication abilities, and a strong mentorship background. This position promises an exciting opportunity to impact learners globally.
Staff ML Platform Engineer: Scale Production ML in London employer: Preply
Contact Detail:
Preply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Platform Engineer: Scale Production ML in 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 lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects related to ML and data engineering. This is your chance to demonstrate how you can build and refine platforms, just like the role requires.
✨Tip Number 3
Prepare for interviews by brushing up on cloud-native solutions and CI/CD practices. We want to see you shine when discussing how you can help transition research to production seamlessly.
✨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 are proactive about their job search.
We think you need these skills to ace Staff ML Platform Engineer: Scale Production ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Staff ML Platform Engineer role. Highlight your experience in building and refining machine learning platforms, as well as any cloud-native solutions you've worked on.
Showcase Collaboration Skills: Since this role emphasises collaboration with cross-functional teams, include examples of how you've successfully worked with others in past projects. We want to see your ability to bridge the gap between research and production!
Communicate Clearly: Excellent communication is key for us. When writing your application, be clear and concise. Use straightforward language to explain your technical expertise and mentorship experience, making it easy for us to understand your background.
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’re considered for this exciting opportunity to impact learners globally!
How to prepare for a job interview at Preply
✨Know Your ML Platforms
Make sure you brush up on your knowledge of machine learning platforms and architectures. Be ready to discuss your experience with cloud-native solutions and CI/CD implementation, as these are key aspects of the role.
✨Showcase Collaboration Skills
Since the job involves working with cross-functional teams, prepare examples that highlight your collaboration skills. Think of specific projects where you successfully worked with others to transition from research to production.
✨Prepare for Technical Questions
Expect technical questions related to data engineering and machine learning. Review common algorithms, data structures, and best practices in ML platform architecture to demonstrate your expertise.
✨Emphasise Mentorship Experience
As mentorship is a strong focus for this position, be ready to share your experiences mentoring others. Discuss how you've helped team members grow and how you can contribute to building a supportive environment.
