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- Tasks: Lead a team of ML engineers to develop and enhance chat features using machine learning.
- Company: Fast-growing fintech company based in London with a focus on innovation.
- Benefits: Competitive salary, flexible work arrangements, and a dynamic work environment.
- Why this job: Join a cutting-edge team and shape the future of customer interactions with AI.
- Qualifications: Proven experience in machine learning deployment and team management, plus Python skills.
- Other info: Exciting opportunity for career growth in a thriving industry.
The predicted salary is between 48000 - 72000 £ per year.
A fast-growing fintech company in London is looking for a Machine Learning Team Lead to join their Chat data science function. This role involves managing a team of ML engineers, developing production models for the Chat feature, and improving customer behavior datasets.
The ideal candidate will have extensive experience in deploying machine learning models and managing teams, as well as proficiency in Python. A competitive compensation package and flexible work arrangements are offered.
ML Engineering Manager for Chat & LLMs (Hybrid) in London employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Manager for Chat & LLMs (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and ML space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for those technical questions! Brush up on your Python and ML concepts. We want to see you shine when discussing your experience with deploying models and managing teams.
✨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 take that extra step.
We think you need these skills to ace ML Engineering Manager for Chat & LLMs (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deploying machine learning models and managing teams. We want to see how your skills align with the role, so don’t be shy about showcasing your Python proficiency!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the ML Engineering Manager position and how your background makes you the perfect fit for our Chat data science function.
Showcase Your Leadership Skills: Since this role involves managing a team, we’d love to see examples of your leadership experience. Share specific instances where you’ve successfully led projects or mentored others in the field of machine learning.
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’re considered for this exciting opportunity in our fast-growing fintech company!
How to prepare for a job interview at cleo
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've deployed in detail. Be ready to explain your decision-making process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and experience.
✨Showcase Your Leadership Skills
As a Machine Learning Team Lead, you'll need to demonstrate your ability to manage and inspire a team. Prepare examples of how you've successfully led projects or mentored team members in the past. Highlight your communication style and how you foster collaboration.
✨Familiarise Yourself with Chat Data Science
Since this role focuses on the Chat feature, brush up on the latest trends and technologies in chatbots and conversational AI. Being able to discuss relevant advancements will show your enthusiasm and commitment to the field.
✨Prepare for Technical Questions
Expect technical questions related to Python and machine learning. Practice coding problems and be ready to explain your thought process. This will help you demonstrate your technical prowess and problem-solving skills during the interview.
