Lead Machine Learning Engineer

YouLend Limited; Greater London; On-site; GBP 99,000 - 121,000; Full time

Benefits offered by this job

Stock Options

Private Medical Insurance

Free Gym

Subsidised Lunch

Monthly In-Office Masseuse

Job summary

YouLend Limited is seeking a Machine Learning Lead Engineer in London to build and maintain production-grade ML systems while mentoring a small team of engineers. This role combines hands-on engineering responsibilities with the opportunity to grow into management. The ideal candidate will have strong ML engineering skills, experience in deployment, and a solid software engineering background. A competitive compensation package, including stock options and health benefits, is offered.

Qualifications

• Strong background as an ML Engineer, not purely in Data Science.
• Experience deploying and running ML models in production.
• Solid software engineering skills and understanding of CI/CD.

Responsibilities

• Build and maintain production-grade ML systems and pipelines.
• Mentor a small team of ML engineers.
• Establish ML engineering & MLOps best practices.

Skills

Machine Learning Engineering

Software Engineering (Python, APIs)

MLOps Understanding

Mentoring

Cloud Experience (AWS/GCP/Azure)

Tools

MLflow

Docker

Kubernetes

Job description

Machine Learning Lead Engineer

Department: Platform

Employment Type: Permanent

Location: London

Compensation: £110,000 / year

Description

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.

Key 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

Skills, Knowledge & Expertise

• 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

Job Benefits

We offer a comprehensive benefits package that includes:

• Stock Options
• Private Medical insurance via Vitality and Dental Insurance with BUPA
• EAP with Health Assured
• Enhanced Maternity and Paternity Leave
• Modern and sophisticated office space in Central London
• Free Gym in office building in Holborn
• Subsidised Lunch via Feedr
• Deliveroo Allowance if working late in office
• Monthly in office Masseuse
• Team and Company Socials
• Football Power League / Paddle and Yoga Club