Senior ML Platform Engineer (GenAI Platform)

Preply; United Kingdom; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Monthly lesson allowance for Preply

Open, collaborative culture

Job summary

Preply is scaling its GenAI Platform team to power production GenAI workloads and deliver a scalable, self-service platform for product teams. The Senior ML Platform Engineer will design and implement systems behind GenAI workloads, drive platform expansion, and collaborate with Applied Science, Data, Product, Security and Engineering teams.

This hands-on role offers broad technical influence, requires writing production code, shaping abstractions, and setting up safe, scalable production

Qualifications

• Proven track record (5+ years) designing, building and operating backend services or ML infrastructure handling production traffic.
• Strong Python skills and experience building developer-facing APIs/SDKs or shared libraries.
• Practical experience with GenAI systems, including vector retrieval, external provider APIs, and common issues.
• AI Expertise: hands-on use of Agentic AI, influence beyond code generation, architecture & security considerations.
• Sound knowledge of distributed systems, including high availability, concurrency, caching and rate limiting.
• Experience with at least one major public cloud (preferably AWS).
• Hands-on experience with distributed tracing, system telemetry, SLOs, and incident triage.
• Strong communication skills and English at C1 level, willingness to on-call rotation.

Responsibilities

• Architect unified gateway with automated routing, quota controls, and resilient fallback across model vendors.
• Drive system efficiency and low latency via dynamic traffic management, caching, and cost controls.
• Establish evaluation mechanisms to guarantee precision, stability and safety in model outputs.
• Deliver observability with tracing, telemetry, cost analytics, monitoring and alerts across GenAI lifecycles.
• Standardize prompt engineering workflows with automated versioning, testing, governance, and CI/CD integrations.

Skills

Python

APIs/SDKs

Distributed systems

Cloud (AWS)

GenAI systems

English (C1)

Tools

Databricks

Metaflow

AWS SageMaker

Job description

We power people's progress.

At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact.

We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!

The GenAI Platform team sits within Platform Engineering. We build the shared infrastructure that helps product teams develop, evaluate, deploy and operate GenAI safely at scale. Our scope includes the GenAI gateway, model and prompt lifecycle, evaluation, observability, cost controls and guardrails.

We work closely with ML Platform, which supports core machine learning workflows, and Agentic Platform, which provides agent orchestration, state management and tool integration. Together, we give product teams a consistent foundation for user-facing AI experiences and autonomous agents.

We work in small teams with significant ownership, empowering you to directly shape system architecture, technical direction, and platform evolution. Learn more through our Engineering Blog , Tech Radar , and YouTube channel.

What you'll be doing:

GenAI is central to Preply's product strategy. As a Senior ML Platform Engineer, you'll design and build the systems behind production GenAI workloads. You will drive the expansion of our GenAI Platform, and turn recurring engineering needs into reliable self-service capabilities.

This is a hands-on senior role with broad technical influence. You'll write production code, shape platform abstractions and operational standards, and partner with Applied Science, Data, Product, Security and Engineering teams.

In this role, your responsibilities include:

• Architect unified gateway with automated routing, quota controls, and resilient fallback systems across model vendors.
• Drive system efficiency and low latency via dynamic traffic management, response caching, token budgeting, and cost allocation controls.
• Establish robust evaluation mechanisms to guarantee high precision, stability, and safety in model outputs.
• Deliver system observability, providing deep tracing, performance telemetry, cost analytics, continuous monitoring, and alerting across GenAI lifecycles.
• Standardize prompt engineering workflows with automated versioning, automated testing, governance, and CI/CD integrations for production delivery.
• Embed platform guardrails alongside Security and Privacy experts to enforce policies, and safe production defaults automatically.
• Maintain sustainable incident response, blameless postmortems, and comprehensive monitoring for GenAI stacks.

What you need to succeed:

Proven track record (5+ years) designing, building and operating backend services or ML infrastructure handling production traffic.

Strong Python skills and experience building developer-facing APIs/SDKs or shared libraries

Practical experience with GenAI systems, including vector retrieval, external provider APIs, and common issues.

AI Expertise: You're a forefront user of Agentic AI. You're able to bring hands-on experience and start influencing the team beyond code generation; reserving judgment for architecture, business logic, and security, using AI as a thought partner and being able to set up quality gates and safety nets to enhance existing engineering workflows and propose AI-native alternatives.

Sound knowledge of distributed systems, including high availability, concurrency, caching and rate limiting.

Experience with at least one major public cloud, its services and infrastructure (preferably AWS).

Hands-on experience with distributed tracing, system telemetry, SLOs, and incident triage.

Strong communication skills and at least C1 English level, plus willingness to join a paid on-call rotation.

Nice to have:

• Experience operating AI gateways or scalable model serving infrastructure.
• Familiarity with evaluation suites, prompt management, vector databases, or customized GenAI observability tooling.
• Experience with Metaflow, Databricks, or AWS SageMaker.
• Knowledge of hosting open-source foundation models, optimizing GPU compute, dynamic scaling, and infrastructure cost controls.
• Familiarity with agentic workflows, multi-agent frameworks and tool-use patterns.

Why you'll love it at Preply:

• An open, collaborative, dynamic, and diverse culture;
• A generous monthly allowance for lessons on Preply.com , Learnin