At a Glance
- Tasks: Build and improve 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 into management while shaping the future of ML.
- Qualifications: Strong ML engineering background and desire to lead a team.
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.
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 Limited
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 talented team while enjoying a vibrant work culture that prioritises employee well-being and growth. With benefits like stock options, private medical insurance, and a modern office environment, this role offers a rewarding career path in a dynamic setting.
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 your technical knowledge and leadership skills. Be ready to discuss how you've mentored others and improved ML systems in your previous roles. We want to see your passion for both coding and team growth!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
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 reflects the skills and experiences that match the Lead Machine Learning Engineer role. Highlight your hands-on ML experience and any leadership roles you've had, even if they're small.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this position at StudySmarter. Share specific examples of your work with ML systems and how you envision growing into a management role.
Showcase Your Technical Skills:Don’t forget to mention your solid software engineering skills and familiarity with MLOps tools. We want to see your experience with Python, APIs, and cloud platforms like AWS or GCP clearly laid 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 Limited
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss your experience with building and deploying ML systems, as well as any specific tools like MLflow or Docker that you've used. This will show that you're not just a theorist but someone who can get hands-on.
✨Show Your Leadership Potential
Even though this role isn't purely managerial from the start, it's important to demonstrate your mentoring skills. Think of examples where you've guided others or taken the lead on projects. This will help them see your potential for growth into a management role.
✨Be Ready to Collaborate
Collaboration is key in this role, so be prepared to talk about how you've worked with cross-functional teams in the past. Highlight any experiences where you've partnered with data scientists, product managers, or engineers to deliver successful projects.
✨Ask Smart Questions
Prepare some insightful questions about their ML engineering practices and team dynamics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to showcase your knowledge about MLOps and best practices.
