Senior Machine Learning Platform/Ops Engineer
Senior Machine Learning Platform/Ops Engineer

Senior Machine Learning Platform/Ops Engineer

London Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join us to build and maintain cutting-edge ML pipelines for a transformative learning platform.
  • Company: Preply is revolutionising education with AI-powered learning experiences across 175 countries.
  • Benefits: Enjoy flexible work options, a generous learning allowance, competitive pay, and mental health support.
  • Why this job: Make a real impact in education while collaborating with diverse teams in a dynamic culture.
  • Qualifications: 5+ years in ML systems, proficiency in Python/SQL, and experience with cloud platforms like GCP or AWS.
  • Other info: Embrace a growth mindset and contribute to a mission-driven company focused on learner success.

The predicted salary is between 48000 - 72000 £ 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

As Preply scales its AI-powered learning platform, we’re looking for an experienced Senior ML Platform/Ops Engineer to help productionize machine learning systems with high reliability, performance, and observability. You’ll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment.

You’ll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle.

What you’ll be doing

  • Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton
  • Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling)
  • Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.)
  • Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent)
  • Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams
  • Ensure ML services are modular, testable, and monitored from day one
  • Exploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving)

What we’re looking for

  • Proven experience designing and deploying ML systems in production (5+ years in relevant roles)
  • Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.)
  • Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows
  • Understanding of ML model lifecycles: training, validation, deployment, and monitoring
  • Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s)
  • Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven.
  • Exposure to LLM serving, vector databases, or GenAI-powered product flows

Why you’ll love it at Preply:

  • An open, collaborative, dynamic and diverse culture;
  • A generous monthly allowance for lessons onPreply.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. Every day we focus on empowering tutors to deliver an exceptional learning experience.
  • Keep perfecting – To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
  • Now is the time – In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
  • 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.
  • Dive deep – We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
  • 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.
  • 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.
  • 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.
  • 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 is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive. Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company.

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. Together, we are The World Class.

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Senior Machine Learning Platform/Ops Engineer employer: Preply

At Preply, we foster a vibrant and inclusive work culture that prioritises collaboration and personal growth. As a Senior Machine Learning Platform/Ops Engineer, you'll enjoy a competitive financial package, generous learning allowances, and the chance to make a meaningful impact in the Ed-Tech space while working alongside passionate professionals dedicated to empowering learners worldwide.
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Contact Detail:

Preply Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Machine Learning Platform/Ops Engineer

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, such as Databricks, MLFlow, and Airflow. Having hands-on experience or projects showcasing your proficiency with these tools can set you apart during discussions.

✨Tip Number 2

Network with current or former employees of Preply on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.

✨Tip Number 3

Prepare to discuss your past experiences in deploying ML systems, particularly focusing on reliability and performance. Be ready to share specific examples that demonstrate your problem-solving skills and how you've contributed to successful projects.

✨Tip Number 4

Showcase your understanding of the ML model lifecycle by discussing recent trends or challenges in the field. This demonstrates not only your expertise but also your passion for continuous learning and growth, aligning with Preply's values.

We think you need these skills to ace Senior Machine Learning Platform/Ops Engineer

Machine Learning Systems Design
Python Programming
SQL Proficiency
Cloud Platforms (GCP or AWS)
Kubernetes
CI/CD Workflows
ML Model Lifecycle Management
DevOps Practices
Containerization (Docker/K8s)
Data Engineering
Pipeline Orchestration (Airflow, Kubeflow, Dagster)
Observability and Monitoring
Feature Transformation Flows
Batch and Streaming Data Processing (Spark, Kafka)
Mentoring and Collaboration Skills
Exploration of LLM-based Features

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning systems, cloud platforms, and DevOps practices. Use keywords from the job description to demonstrate your fit for the role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for creating impactful learning experiences and how your skills align with Preply's mission. Mention specific projects or achievements that showcase your expertise in ML and data engineering.

Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and orchestration tools like Airflow or Kubeflow. Provide examples of how you've successfully implemented these technologies in previous roles.

Highlight Collaboration Experience: Emphasise your ability to work with cross-functional teams, such as ML Scientists and Backend Engineers. Share examples of how you've contributed to team success and fostered collaboration in past projects.

How to prepare for a job interview at Preply

✨Showcase Your ML Experience

Be prepared to discuss your previous experience in designing and deploying machine learning systems. Highlight specific projects where you contributed to the ML lifecycle, focusing on your role in productionising models and ensuring their reliability.

✨Demonstrate Technical Proficiency

Make sure to brush up on your Python and SQL skills, as well as your knowledge of orchestration tools like Airflow or Kubeflow. Be ready to answer technical questions that assess your understanding of cloud platforms, containerisation, and CI/CD workflows.

✨Understand Preply's Mission

Familiarise yourself with Preply's mission and values. Be ready to explain how your work aligns with their goal of creating life-changing learning experiences and how you can contribute to their dynamic culture.

✨Prepare for Collaboration Scenarios

Since the role involves working closely with ML Scientists and Engineers, think of examples from your past where you successfully collaborated on projects. Be ready to discuss how you handle disagreements and ensure effective communication within a team.

Senior Machine Learning Platform/Ops Engineer
Preply
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  • Senior Machine Learning Platform/Ops Engineer

    London
    Full-Time
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-07-16

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    Preply

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