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For Companies At a Glance
- Tasks: Build and improve 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 regular team 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.
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 employer: YouLend Limited
Contact Detail:
YouLend Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Lead Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, GitHub contributions, or any relevant work. This gives hiring managers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges, but also think about how you’d lead a team or mentor others. We want to see that player-coach mentality!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Machine Learning Lead Engineer
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 personality 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 deployment and MLOps best practices. Include links if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates from us. Plus, we can’t wait to hear from you!
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 manager in the making, but also a hands-on engineer who knows the ins and outs of the tech.
✨Show Off Your Leadership Skills
Even if you haven't been in a formal management role, think about times you've mentored others or led projects. Prepare examples that highlight your ability to guide a small team and how you plan to grow into a leadership position. Companies love candidates who can inspire and elevate their teams.
✨Get Familiar with MLOps
Since this role involves establishing best practices for ML engineering and MLOps, make sure you understand the CI/CD processes and monitoring tools. Be ready to discuss how you've implemented these in past projects, as it shows you're proactive about improving deployment and model lifecycle management.
✨Ask Smart Questions
Prepare thoughtful questions about the company's ML roadmap, team dynamics, and how they measure success in their ML initiatives. This not only shows your genuine interest in the role but also gives you insight into whether the company aligns with your career goals.