YouLend

Revenue-based financing for ecommerce merchants

Lead Machine Learning Engineer

Applied Machine LearningUpdated on Nov 13

Full-timeLondon, UK£110k /yrHybrid

About the Job

Requirements

Strong background as a machine learning engineer, rather than purely in data science or research.
Experience deploying and running machine learning models in production.
Solid software engineering skills, including Python, APIs, and systems.
Good understanding of the MLOps stack, including continuous integration and continuous delivery, monitoring, and pipelines.
Familiarity with MLflow, Airflow, Evidently, DVC, Docker, and Kubernetes.
Cloud experience with AWS, GCP, or Azure.
Some mentoring or leadership experience and a desire to grow into management.

Responsibilities

Build and maintain production-grade machine learning systems and pipelines.
Remain hands-on with coding, reviews, debugging, and deployments.
Mentor a small team of initially two to three machine learning engineers.
Establish machine learning engineering and MLOps best practices.
Improve deployment, monitoring, and model lifecycle management.
Collaborate with data science, Risk, Product, and Engineering.
Help shape the roadmap and hiring.

Desired Qualifications

Experience scaling machine learning platforms or teams.
Fintech, lending, or risk domain exposure.

We’re looking for a Machine Learning Lead Engineer who wants to operate as a player-coach — someone still very hands-on, but excited to grow into a proper management role over time. This is not a pure manager role from day one. You’ll be building, shipping, and improving ML systems while gradually taking on more team leadership responsibilities.

What you’ll do:

Build and maintain production-grade ML systems and pipelines
Stay hands-on (coding, reviews, debugging, deployments)
Mentor a small team of ML engineers (2–3 people initially)
Establish ML engineering & MLOps best practices
Improve deployment, monitoring, and model lifecycle management
Collaborate with DS, Risk, Product, and Engineering
Help shape roadmap and hiring

Strong background as an ML Engineer (not purely DS/research)
Experience deploying and running ML models in production
Solid software engineering skills (Python, APIs, systems)
Good understanding of MLOps stack (CI/CD, monitoring, pipelines)
Familiarity with tools like MLflow, Airflow, Evidently, DVC, Docker, Kubernetes.
Cloud experience (AWS/GCP/Azure)
Some mentoring/leadership experience + desire to grow into management
Nice to have:
- Experience scaling ML platforms or teams
- Fintech / lending / risk domain exposure

About the Company

YouLend

Revenue-based financing for ecommerce merchants

YouLend provides revenue-based financing to merchants, letting businesses access funding tied to their sales. Funds are disbursed quickly (offers often the same day, funds next day) and repayments are automatically deducted as a fixed percentage of ongoing sales. The platform supports no-code and API integrations, making it easy to connect and go live, with real-time payouts that don’t wait for acquirer settlements. Its goal is to help merchants grow by offering fast, flexible funding that aligns with revenue and avoids traditional debt payments.

Company size: 501-1,000
Company stage: Not listed
Total funding: Not listed
Headquarters: London, United Kingdom
Founded: 2015

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