At a Glance
- Tasks: Build and maintain cutting-edge ML systems while mentoring a small team.
- Company: Dynamic fintech company in Central London with a focus on innovation.
- Benefits: Stock options, private medical insurance, gym access, and subsidised lunches.
- Other info: Enjoy a vibrant office culture with social events and wellness activities.
- Why this job: Join a hands-on role with growth potential into management while shaping the future of ML.
- Qualifications: Strong ML engineering background, coding skills, and a desire to lead.
The predicted salary is between 110000 - 110000 € per year.
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.
Department: Platform
Location: London
Compensation: £110,000 / year
Key Responsibilities:
- 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:
- 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
Lead Machine Learning Engineer in London employer: YouLend
Join a forward-thinking company in the heart of London, where innovation meets collaboration. As a Lead Machine Learning Engineer, you'll not only enhance your technical skills but also have the opportunity to mentor a small team and grow into a management role. With benefits like stock options, private medical insurance, and a vibrant office culture that includes social events and wellness initiatives, this is an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field and let them know you're on the hunt for a Lead Machine Learning Engineer role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that highlight your hands-on coding and deployment experience. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. Since this role involves mentoring, be ready to discuss your approach to guiding a small team and how you plan to grow into a management position.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Lead Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with ML systems and your coding skills. We want to see how you've built and maintained production-grade ML systems, so don’t hold back on those details!
Showcase Your Leadership Potential:Even if you’re not in a full management role yet, let us know about any mentoring or leadership experiences you've had. We’re looking for someone who’s excited to grow into a management position, so share your journey with us!
Highlight Relevant Skills:Be sure to mention your familiarity with the MLOps stack and any cloud experience you have. We love seeing candidates who are well-versed in tools like MLflow, Docker, and Kubernetes, so make those stand out!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at YouLend
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals and be ready to discuss your hands-on experience with building and deploying ML systems. Be prepared to share specific examples of projects you've worked on, especially those that highlight your coding skills and familiarity with tools like Docker and Kubernetes.
✨Show Your Leadership Potential
Even though this role isn't purely managerial from the start, it's important to demonstrate your mentoring experience and your desire to grow into a leadership position. Think of instances where you've guided others or contributed to team success, and be ready to discuss how you can help shape the team's future.
✨Understand MLOps Best Practices
Since the role involves establishing ML engineering and MLOps best practices, make sure you can talk about your experience with CI/CD, monitoring, and model lifecycle management. Familiarise yourself with the latest trends in MLOps and be ready to suggest improvements based on your past experiences.
✨Collaborate Like a Pro
This position requires collaboration with various teams, so be prepared to discuss how you've successfully worked with cross-functional teams in the past. Highlight your communication skills and any specific examples where your collaboration led to successful project outcomes.
