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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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Preply · London
