Preply

Senior ML Platform Engineer (GenAI Platform)

London, Greater London, United Kingdom · Hybrid · FullTime

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerPreply
  • LocationLondon, Greater London, United Kingdom
  • Work styleHybrid
  • Employment typeFullTime
  • Employer posted

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.

Show full description

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 onPreply.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.

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

Software engineer jobs in London

ROLIVA currently lists 208 open roles like this in London.

Employers hiring for this

  • Wise43 open roles
  • Anthropic10 open roles
  • Preply9 open roles
  • LSEG8 open roles
  • Shieldai7 open roles

Top skills asked for

Listings whose description mentions each term. A mention is not a requirement.

At a glance

  • Work styleHybrid
  • Employment typeFullTime
  • SenioritySenior
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python AWS Machine learning

Explore similar roles

Similar jobs

PEBL

Staff Software Engineer

Palo Alto, California, United States

HybridFullTimeUSD 225,763–255,000/year