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Senior ML Platform Engineer (GenAI Platform)

London · London, Greater London, United Kingdom

Live, first seen by us 30 days ago
Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
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Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Engineering — team source
Department: Engineering
From the employer’s posting

What you’ll work on

Full posting
  • Architect a unified model gateway with routing, quota controls and fallbacks across vendors

  • Build caching, token budgeting and cost controls to lower latency and spend

  • Establish evaluation mechanisms for precision, stability and safety of model outputs

  • Deliver tracing, telemetry, cost analytics and alerting across GenAI systems

  • Standardize prompt versioning, testing and CI/CD delivery for production

From the employer’s posting
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.
Apply at Preply

Posting record

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Status in our records
Live
First seen by us
Oct 14, 202630 days ago
Recorded sightings
42
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 30

Similar jobs usually come down between day 8 and day 76.

At Preply, jobs usually come down by about day 64.

From 5,460 similar postings that came down, and 21 of Preply’s. Coming down is not always a hire.

Preply is hiring

29 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Databricks
  • SageMaker
Where the posting names them
- 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.
- 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.
- 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.

Your next step

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Has Preply posted this job before?

Yes. We’ve followed 2 other Senior ML Platform Engineer (GenAI Platform) jobs there since October 2026. All 2 are still up.

  1. KyivStill up after 31 days, first seen Oct 14
  2. BarcelonaStill up after 31 days, first seen Oct 14
  3. This jobUp 31 days so far, first seen Oct 14

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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, 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;

  • Access to Gympass-partnered wellness and gym centers throughout London to promote and support well-being and physical health;

  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

  • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.

  • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.

  • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.

  • Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.

  • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.

  • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.

  • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.

  • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.

  • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.

  • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

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London, Greater London, United Kingdom

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