Preply

Staff Machine Learning Ops Engineer

London, Remote. Posted 4 months ago

The role

You will define and evolve the machine learning platform to support growing ML and GenAI adoption. You will design systems for the full ML lifecycle and lead the architecture of platform capabilities.

What you will do

  • Define the technical vision and roadmap for Preply’s ML platform.
  • Lead the architecture of platform capabilities across the full ML lifecycle.
  • Design cloud-native infrastructure for distributed training and inference.
  • Set the technical direction for CI/CD for ML.
  • Establish observability standards for ML systems.
  • Lead the evolution of Preply’s GenAI and LLM platform capabilities.
  • Partner with Applied Science, Data, Product, and Engineering leadership.
  • Design platform abstractions, internal libraries, templates, and self-service tooling.
  • Act as a technical multiplier by mentoring senior engineers and influencing architecture.
  • Identify and eliminate bottlenecks in the path from ML research to production.

Required qualifications

  • 9+ years of engineering experience, with significant depth in large-scale ML, data, infrastructure, or platform systems.
  • Proven ability to architect and scale production-grade ML platforms.
  • Deep understanding of cloud-native architecture and end-to-end ML workflows.
  • Strong hands-on experience with cloud platforms such as GCP or AWS, Kubernetes, distributed compute, CI/CD, observability, and infrastructure-as-code practices.
  • Experience building enabling tools and platform capabilities for Applied Scientists, Data Scientists, and engineering teams.
  • Strong technical judgment and the ability to make pragmatic architecture decisions.
  • Excellent communication and influence skills.
  • Demonstrated ability to mentor engineers, raise engineering standards, and multiply the impact of teams.
  • Product-impact mindset.

Nice to have

  • Familiarity with LLM frameworks and GenAI infrastructure, such as LangChain, LlamaIndex, vector stores, retrieval systems, prompt evaluation, model serving, or LLM observability.

Benefits

  • 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

About the company

Preply is an AI-powered learning platform used by millions of learners and tutors worldwide. The company helps people discover tutors and craft personalised learning journeys.

Staff Machine Learning Ops Engineer at Preply | JobZoey