Preply

Senior Machine Learning Platform/Ops Engineer

Preply

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AirflowAWSBigQueryCloudDockerGoogle Cloud PlatformKafkaKubernetesPythonSparkSQLTerraform

About the role

  • 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)

Requirements

  • 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
Benefits
  • 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
  • Health insurance
  • Access to free mental health support platforms
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningPythonSQLML pipelinesDevOpscontainerizationGitIaCdata ingestionfeature transformation
Soft Skills
independent workmentoringproduct impact driven