Staff Machine Learning Ops Engineer at Preply - ScoutJobs - The AI-curated global job board
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Posted 4 hours ago

Staff Machine Learning Ops Engineer

PreplyStaff Machine Learning Ops Engineer

Perks & benefits

AccommodationHealth InsuranceEducation AllowancePaid Leave

Requirements

9+ years engineering experience, Large-scale ML/Data/Platform systems expertise, Cloud-native architecture knowledge, GCP or AWS proficiency, Kubernetes experience, LLM framework familiarity

Skills

MLOpsKubernetesAILLMMachine Learninggenerative AIDevOpsPyTorchFigmaUI/UX DesignPostgreSQLTableauDistributed SystemsMicroservicesSnowflake

About the role

About the Company

Preply is an AI-powered learning platform used by millions of learners and tutors worldwide. Having recently reached unicorn status, Preply is scaling its mission to transform education through human-led, AI-enhanced learning across 180 countries.

Responsibilities

  • Define the technical vision and roadmap for Preply’s ML platform to support growing GenAI adoption.
  • Lead the architecture of platform capabilities across the full ML lifecycle, including experimentation, training, and deployment.
  • Design cloud-native infrastructure for distributed training and inference, focusing on GPU environments and cost optimization.
  • Set technical direction for CI/CD for ML, embedding testing, security, and performance checks.
  • Establish observability standards for model metrics, drift detection, and data quality.
  • Lead the evolution of GenAI and LLM platform capabilities, including LLM Gateway services and vector retrieval infrastructure.
  • Partner with Applied Science, Data, and Product leadership to align platform investments with business impact.
  • Design self-service tooling and abstractions to accelerate ML Scientist workflows.
  • Mentor senior engineers and act as a technical multiplier across the organization.

Requirements

  • 9+ years of engineering experience in large-scale ML, data, or platform systems.
  • Proven track record of architecting production-grade ML platforms.
  • Deep understanding of cloud-native architecture and end-to-end ML workflows.
  • Hands-on experience with GCP or AWS, Kubernetes, and Infrastructure-as-Code.
  • Experience building enabling tools for Data Scientists and Applied Scientists.
  • Strong technical judgment regarding scalability, security, and cost.
  • Excellent communication and cross-functional influence skills.
  • Familiarity with LLM frameworks such as LangChain, LlamaIndex, or vector stores.

Benefits

  • Generous monthly allowance for Preply lessons.
  • Learning & Development budget and dedicated time for self-development.
  • Competitive financial package including equity.
  • Health insurance and leave allowance.
  • Access to free mental health support platforms.
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Staff Machine Learning Ops Engineer

Preply · London

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