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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 48000 - 72000 £ 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with ML and AI. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to NLP or financial applications. This will not only demonstrate your expertise but also your passion for the field.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data science fundamentals and be ready to discuss your experience in production environments. We want to see how you tackle real-world problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer NLP & Production AI for Fintech
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 Fundamentals
Brush up on your machine learning fundamentals, especially in NLP and production environments. Be ready to discuss algorithms, model training, and deployment strategies, as well as how you’ve applied these in real-world scenarios.
✨Showcase Your Collaboration Skills
Since the role emphasises collaboration with cross-functional teams, prepare examples of how you've successfully worked with others. Highlight your communication skills and how you’ve navigated challenges in team settings.
✨Demonstrate Your Problem-Solving Approach
Be prepared to tackle hypothetical problems during the interview. Think through your problem-solving process out loud, showcasing your analytical thinking and how you approach financial health solutions using ML.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in fintech and machine learning. Being able to discuss recent advancements or challenges in the industry will show your passion and commitment to making a meaningful impact.
