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- 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 regular socials 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 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.
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
Machine Learning Lead Engineer in London employer: YouLend
Contact Detail:
YouLend Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Lead 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 new role. Attend meetups, webinars, or even casual coffee chats to get your name out there and learn about potential opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, including any production-grade systems you've built. This will not only demonstrate your hands-on experience but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common ML engineering interview questions and practice your answers. Be ready to discuss your experience with MLOps, deployment strategies, and how you've mentored others in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Machine Learning Lead Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML systems and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on coding and mentoring experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Machine Learning Lead Engineer position and how you envision growing into a management role. Be genuine and let your passion for ML and leadership come through.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve deploying models or improving pipelines. Include links if possible!
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. Plus, it shows you’re keen to join the StudySmarter team!
How to prepare for a job interview at YouLend
✨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 you've used like MLflow or Docker. They’ll want to see that you can not only talk the talk but also walk the walk.
✨Show Your Hands-On Skills
Since this role is about being a player-coach, be prepared to demonstrate your coding skills. Bring examples of your past work, especially any production-grade ML systems you've built. This will show them you're not just a manager in the making, but also someone who can get their hands dirty.
✨Mentorship Mindset
They’re looking for someone who can mentor a small team, so think about your past experiences in leadership or mentoring roles. Prepare to share how you’ve helped others grow in their careers and how you plan to foster a collaborative environment.
✨Understand the Bigger Picture
Familiarise yourself with the company’s goals and how the ML team fits into the overall strategy. Be ready to discuss how you can contribute to shaping the roadmap and improving MLOps practices. Showing that you understand the business side of things will set you apart.