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Senior Machine Learning Platform/Ops Engineer

preplyBarcelonaEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior · 5+ yrs
Posted
23 Sept 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced machine learning platform engineer based in Barcelona who wants to build production infrastructure for AI-powered educational systems. The position involves bridging machine learning, data engineering, and cloud infrastructure to support scalable model deployment at Preply.

Role Overview

Preply is hiring a Senior Machine Learning Platform/Ops Engineer in Barcelona to operationalize machine learning systems with high performance and reliability. The professional will collaborate with machine learning scientists, backend engineers, and data engineers to establish robust foundations for the machine learning lifecycle.

Key Responsibilities

Build and maintain machine learning pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, and Tecton.
Support AI scientists in creating reproducible, containerized model training environments and manage compute at scale.
Define and implement observability and alerting for machine learning systems regarding model drift, data quality, and feature coverage.
Design and scale data ingestion and feature transformation flows using batch and streaming methods.
Contribute to internal Python libraries and platform tooling to accelerate experimentation and deployment.
Explore and productionize large language model features such as retrieval pipelines, prompt evaluation, and model serving.

Requirements

Proven experience designing and deploying machine learning systems in production with five or more years in relevant roles.
Proficiency in Python, SQL, and orchestration tools like Airflow, Kubeflow, or Dagster.
Experience with modern cloud platforms, preferably GCP or AWS, alongside Kubernetes and CI/CD workflows.
Understanding of machine learning model lifecycles encompassing training, validation, deployment, and monitoring.
Strong DevOps practices including Git, infrastructure as code with Terraform, logging, observability, and containerization.

Skills and Tools

Python
SQL
Databricks
MLFlow
Airflow
DBT
Sagemaker
Tecton
Kubeflow
Dagster
GCP
AWS
Kubernetes
Docker
Terraform
Spark
BigQuery
Kafka

Salary and Benefits

Competitive financial package with equity, leave allowance, and health insurance
Generous monthly allowance for lessons on Preply.com, learning and development budget, and self-development time off
Access to free mental health support platforms

About the Company

Preply is a unicorn-status education technology company operating a human-led and technology-enabled language learning platform. Over 100,000 tutors teach more than 90 languages to learners across 180 countries.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PythonSQLDatabricksMLFlowAirflowDBTSagemakerTectonKubeflowDagsterGCPAWSKubernetesDockerTerraformSparkBigQueryKafkaLLMMachine Learning

Questions candidates ask

Where is the position located?

The position is located in Barcelona.

How many years of experience are required?

The role requires 5 or more years of relevant experience designing and deploying machine learning systems in production.

What programming languages are required?

Proficiency in Python and SQL is required.

What benefits are provided?

Benefits include a competitive financial package with equity, leave allowance, health insurance, a monthly allowance for lessons on Preply.com, a learning and development budget, and access to free mental health support platforms.

How should I apply?

Candidates should apply on the official company careers page.

Ready to apply?

The application is on the official preply careers page.

Apply on company site