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Senior Machine Learning Platform/Ops Engineer

Preply

City Of London

On-site

GBP 80,000 - 100,000

Full time

Today
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Job summary

A leading educational technology company in London is seeking a Senior ML Platform/Ops Engineer to enhance their AI-powered learning platform. This role involves building and maintaining ML pipelines, ensuring high reliability and performance of machine learning systems. The ideal candidate will have over 5 years of experience in ML systems design and proficiency in Python, SQL, and various orchestration tools. A competitive financial package and a collaborative work culture are offered.

Benefits

Generous monthly allowance for lessons
Learning & Development budget
Health insurance
Access to mental health support platforms

Qualifications

  • 5+ years of proven experience designing and deploying ML systems in production.
  • Experience with modern cloud platforms (preferably GCP or AWS) and CI/CD workflows.
  • Ability to work independently and mentor peers in reliability testing and delivery.

Responsibilities

  • Build and maintain ML pipelines for training, evaluation, and deployment.
  • Support AI scientists in creating reproducible, containerized model training environments.
  • Define and implement observability and alerting for ML systems.

Skills

ML systems design
Python proficiency
SQL proficiency
Cloud platforms (GCP, AWS)
DevOps practices
Containerization (Docker/K8s)
Orchestration tools
ML lifecycle understanding
Agile methodologies

Tools

Databricks
MLFlow
Airflow
DBT
Sagemaker
Job description
Overview

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 scientists 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 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. 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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