Engineering Manager for ML Platform in London
Engineering Manager for ML Platform

Engineering Manager for ML Platform in London

London Full-Time 48000 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a high-performing team to build scalable ML infrastructure and tools.
  • Company: Join Preply, a dynamic Ed-Tech company transforming learning experiences worldwide.
  • Benefits: Enjoy competitive pay, equity, health insurance, and generous learning allowances.
  • Why this job: Make a real impact in the world of education through innovative ML solutions.
  • Qualifications: Experience in ML infrastructure, strong leadership skills, and a passion for ethical practices.
  • Other info: Be part of a diverse culture that values collaboration and continuous growth.

The predicted salary is between 48000 - 72000 ÂŁ per year.

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. 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.

Meet the Team

The Preply Engineering Team provides the tools to help unlock human potential through learning. At Preply, we build scalable and reliable applications using Python/Django, with a strong focus on data, A/B testing, and feedback from students and tutors to guide our decisions. We prioritize product quality through robust monitoring, metrics analysis, and continuous optimization. Thanks to our advanced CI/CD processes, we release code 50-60 times per day. As a fast‐growing company, we face a wide range of technical challenges, giving our engineers plenty of opportunities to grow and make an impact, some of which we even share on our Engineering Blog.

We're looking for a hands‐on Engineering Manager to lead our Machine Learning Platform team, a strategic platform team focused on enabling scalable, production‐grade ML capabilities across Preply. This is a high‐impact, cross‐cutting role at the intersection of infrastructure, data engineering, and ML systems.

What you'll be doing:

  • Lead and support a high‐performing team of senior engineers focused on ML infrastructure, data streaming, and scalable systems.
  • Build reusable tools, abstractions, and self‐service capabilities to make ML at Preply faster, safer, and more reliable.
  • Mentor and grow engineers through regular feedback, mentorship, and career growth opportunities, with a focus on creating an inclusive and collaborative environment.
  • Identify and prioritize high‐impact opportunities in collaboration with DS/ML teams, platform teams, and product leadership.
  • Own execution and delivery, ensuring technical quality, reliability, and timely outcomes.
  • Provide technical leadership: guide system design and architectural decisions, help navigate trade‐offs, and remove technical blockers.
  • Champion engineering best practices, from code quality to scalable processes and tech stack evolution.

What you need to succeed

Must‐Haves

  • Proven experience designing and scaling ML infrastructure or big data platforms in production.
  • Strong background in ML Ops, data streaming (Kafka), feature stores, model deployment, or real‐time processing.
  • Hands‐on engineering experience and strong system design fundamentals.
  • Experience collaborating with DS/ML teams, empowering them with scalable tooling and workflows.
  • Experience in building, leading, and scaling development teams.
  • Ethical Leadership: Lead the team by example, demonstrating unwavering commitment to ethical behavior and integrity.

Nice‐to‐Haves

  • Previous experience at high‐scale product companies.
  • Experience migrating ML platforms from MVP to production.
  • Familiarity with Databricks, Airflow, AWS, Kubernetes, and streaming systems.
  • Background in Big Data architecture (as an alternative to direct ML experience).

Why you'll love it at Preply:

  • An open, collaborative, dynamic and diverse culture;
  • A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self‐development;
  • A competitive financial package with equity, leave allowance, and health insurance;
  • Access to free mental health support platforms;
  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

  • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
  • We do it for learners - For both Preply and tutors, learners are why we do what we do.
  • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment.
  • Now is the time - In a fast‐paced world, it matters how quickly we act.
  • Disciplined execution - What makes us disciplined is the excellence in our execution.
  • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories.
  • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point.
  • Raise the bar - We raise our performance standards continuously.
  • Challenge, disagree and commit - We value open and candid communication.
  • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions.

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.

Engineering Manager for ML Platform in London employer: Preply

At Preply, we foster a vibrant and inclusive work culture that prioritises collaboration and personal growth, making it an exceptional place for an Engineering Manager to thrive. With generous benefits including a monthly allowance for lessons, a dedicated Learning & Development budget, and access to mental health support, we empower our employees to unlock their potential while contributing to meaningful educational experiences across the globe. Join us in shaping the future of learning through innovative technology and a commitment to ethical leadership.
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Contact Detail:

Preply Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineering Manager for ML Platform in London

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for those interviews! Research the company, understand their products, and think about how your skills can help them grow. Show them you’re not just another candidate.

✨Tip Number 3

Don’t forget to follow up after interviews! A quick thank-you email can keep you fresh in their minds and show your enthusiasm for the role.

✨Tip Number 4

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!

We think you need these skills to ace Engineering Manager for ML Platform in London

Machine Learning Infrastructure
Data Streaming (Kafka)
ML Ops
Feature Stores
Model Deployment
Real-Time Processing
System Design Fundamentals
Team Leadership
Mentorship
Collaboration with Data Science/ML Teams
Technical Leadership
Ethical Leadership
Building Scalable Tools
Continuous Optimisation

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience with ML infrastructure and team leadership, as this will show us you’re a perfect fit for our needs.

Showcase Your Impact: When detailing your past experiences, focus on the impact you've made in previous roles. We love to see quantifiable results, so if you’ve led projects that improved efficiency or scalability, let us know!

Be Authentic: We value honesty and transparency, so don’t be afraid to let your personality shine through in your application. Share your passion for ML and how you envision contributing to our mission at Preply.

Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. This helps us keep track of applications and ensures you’re considered for the role you’re excited about!

How to prepare for a job interview at Preply

✨Know Your ML Stuff

Make sure you brush up on your machine learning infrastructure knowledge. Be ready to discuss your experience with ML Ops, data streaming, and any relevant tools like Kafka or Databricks. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building scalable systems.

✨Show Your Leadership Skills

As an Engineering Manager, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've mentored engineers in the past, fostered collaboration, and created an inclusive environment. Highlight your ethical leadership style and how you’ve instilled a culture of integrity within your teams.

✨Be Ready for Technical Challenges

Expect to face some technical questions or challenges during the interview. Brush up on system design fundamentals and be prepared to discuss architectural decisions you've made in previous roles. They might even throw in a scenario to see how you navigate trade-offs and remove blockers.

✨Align with Their Values

Preply has a strong focus on their principles, so make sure you understand them. Think about how your personal values align with theirs, especially around growth mindset, disciplined execution, and collaboration. Be ready to share how you embody these principles in your work and how you can contribute to their mission.

Engineering Manager for ML Platform in London
Preply
Location: London

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