At a Glance
- Tasks: Lead the design and implementation of Preply’s ML platform architecture and drive cloud-native solutions.
- Company: Preply creates life-changing learning experiences, connecting learners with tutors across 175 countries.
- Benefits: Enjoy a competitive package, monthly lesson allowance, health support, and a focus on self-development.
- Why this job: Join a dynamic team that values collaboration, innovation, and making a real impact in education.
- Qualifications: 8+ years in Data/ML platforms, strong cloud knowledge, and experience mentoring ML engineers required.
- Other info: Embrace a culture of diversity, growth, and open communication at Preply.
The predicted salary is between 48000 - 72000 ÂŁ per year.
We power people’s progress.
At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled – and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.
About the role
We’re hiring a Staff ML & Data Engineer to own and evolve Preply’s ML platform. You will design the systems that enable our ML teams to move from research to production seamlessly — at scale, across clouds, and with minimal friction.
This role blends strategic platform architecture with deep hands‑on engineering. You’ll partner with Engineering and ML leadership to define standards, introduce new tooling, and eliminate barriers to deploying reliable, cost‑efficient, and observable ML systems.
Your mission
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Lead the design and implementation of Preply’s ML platform architecture: from experiment tracking and artifact management to scalable model deployment
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Drive cloud‑native solutions for distributed training and inference, including GPU‑based training environments, autoscaling, and rollout strategies
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Own technical direction for CI/CD for ML, incorporating testing, validation, and performance checks into every deployment pipeline
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Embed observability best practices across ML workflows: metrics, alerts, drift detection, lineage
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Act as a multiplier across engineering: mentoring, influencing standards, and de‑risking complex technical decisions
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Partner with ML Leads and Product teams to align platform direction with experimentation velocity, cost‑efficiency, and user impact
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Design and lead building ML services are modular, testable, and monitored from day one
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Contribute to LLM platform capabilities, including RAG pipelines, latency‑optimized inference, and prompt experimentation frameworks
What we’re looking for
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8+ years of engineering experience in large‑scale Data/ML platforms, with proven ability to architect and scale production‑grade systems supporting dozens of ML use cases
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Deep knowledge of cloud services and strong understanding of end‑to‑end ML workflows, including versioning, monitoring, and performance benchmarking
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Experience with working with scientists and building enabling tools for them.
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Excellent communication and influence across cross‑functional teams; motivated by product impact. Mentoring and coaching ML engineers.
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Familiarity with LLM frameworks (LangChain, LlamaIndex), vector stores, and retrieval infrastructure
Why you’ll love it at Preply
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An open, collaborative, dynamic and diverse culture;
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A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self‑development;
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A competitive financial package with equity, leave allowance and health insurance;
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Access to free mental health support platforms;
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The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)
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Our Principles
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Care to change the world – We are passionate about our work and care deeply about its impact to be life changing.
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We do it for learners – For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
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Keep perfecting – To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
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Now is the time – In a fast‑paced world, it matters how quickly we act. Now is the time to make great things happen.
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Disciplined execution – What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
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Dive deep – We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
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Growth mindset – We proactively seek growth opportunities and believe today\’s best performance becomes tomorrow\’s starting point. We humbly embrace feedback and learn from setbacks.
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Raise the bar – We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high‑performing teams that can make a real difference.
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Challenge, disagree and commit – We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
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One Preply – We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other\’s progress.
Diversity, Equity, and Inclusion
Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed‑Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
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Staff Machine Learning Platform/Ops Engineer employer: Preply
Contact Detail:
Preply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Platform/Ops Engineer
✨Tip Number 1
Familiarise yourself with Preply's mission and values. Understanding how your role as a Staff Machine Learning Platform/Ops Engineer contributes to their goal of creating life-changing learning experiences will help you align your discussions during interviews.
✨Tip Number 2
Showcase your experience with cloud-native solutions and ML workflows. Be prepared to discuss specific projects where you've successfully implemented scalable systems, as this will demonstrate your capability to lead the design and implementation of Preply’s ML platform.
✨Tip Number 3
Highlight your mentoring and coaching skills. Since the role involves acting as a multiplier across engineering, sharing examples of how you've influenced standards or guided teams in previous positions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your familiarity with LLM frameworks and retrieval infrastructure. Being able to articulate your knowledge in these areas will show that you're not only technically proficient but also ready to contribute to Preply's innovative projects.
We think you need these skills to ace Staff Machine Learning Platform/Ops Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in large-scale Data/ML platforms. Emphasise your engineering background, particularly any work with cloud services and ML workflows, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for creating impactful learning experiences. Mention specific projects where you've designed or implemented ML systems, and how they align with Preply's mission of empowering learners.
Showcase Your Technical Skills: Be explicit about your technical skills related to the job description. Include your experience with CI/CD for ML, observability best practices, and any familiarity with LLM frameworks. This will demonstrate your fit for the role.
Highlight Collaboration Experience: Preply values teamwork and collaboration. Share examples of how you've worked with cross-functional teams, mentored others, or influenced standards in previous roles. This will show that you can thrive in their dynamic culture.
How to prepare for a job interview at Preply
✨Understand the Role
Make sure you have a solid grasp of what the Staff Machine Learning Platform/Ops Engineer role entails. Familiarise yourself with the key responsibilities, such as designing ML platform architecture and driving cloud-native solutions. This will help you articulate how your experience aligns with their needs.
✨Showcase Your Experience
Prepare to discuss your 8+ years of engineering experience in large-scale Data/ML platforms. Highlight specific projects where you've architected and scaled production-grade systems, especially those that support multiple ML use cases. Use concrete examples to demonstrate your expertise.
✨Communicate Effectively
Since excellent communication is crucial for this role, practice articulating complex technical concepts in a clear and concise manner. Be ready to explain how you've influenced cross-functional teams and mentored ML engineers in previous positions.
✨Emphasise Collaboration
Preply values teamwork and collaboration, so be prepared to discuss how you've worked with product teams and ML leads in the past. Share examples of how you've aligned platform direction with experimentation velocity and user impact, showcasing your ability to work well within a team.