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- Tasks: Innovate financial solutions using machine learning and collaborate with diverse teams.
- Company: Leading fintech startup focused on user financial health.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in the financial industry with cutting-edge technology.
- Qualifications: Strong Data Science skills and experience in production environments.
- Other info: Join a dynamic team dedicated to innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
A leading fintech startup is seeking a Senior Machine Learning Engineer to innovate solutions for user financial health. You will train and deploy models utilizing in-house and third-party technologies. The role emphasizes collaboration with cross-functional teams and maintaining industry-leading ML practices. Ideal candidates will possess strong Data Science skills and experience in production environments, along with exemplary communication abilities. Join to make a meaningful impact in the financial industry.
Senior ML Engineer NLP & Production AI for Fintech in London employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer NLP & Production AI for Fintech in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with ML and AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and production AI. 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 communication skills. You’ll need to explain complex ML concepts clearly, so practice explaining your past projects to friends or family.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can make a difference in the financial industry. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior ML Engineer NLP & Production AI for Fintech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and data science, especially in production environments. We want to see how your skills align with the fintech space, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about financial health and how your background makes you a perfect fit for our team. Let’s see your personality come through!
Showcase Collaboration Skills: Since we value teamwork, mention any experiences where you’ve worked with cross-functional teams. Highlight how you communicated complex ML concepts to non-technical stakeholders – this will show us you can bridge the gap!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at cleo
✨Know Your ML Stuff
Brush up on your machine learning concepts, especially those related to NLP and production AI. Be ready to discuss your past projects and how you’ve applied these technologies in real-world scenarios, particularly in fintech.
✨Showcase Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others. Highlight your communication skills and how they’ve helped you achieve project goals.
✨Understand the Fintech Landscape
Familiarise yourself with current trends and challenges in the fintech industry. Being able to discuss how your work can impact user financial health will show your genuine interest and understanding of the sector.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and knowledge of ML practices. Practice coding problems and be ready to explain your thought process clearly, as this will demonstrate your expertise and analytical skills.
