Senior ML Engineer — NLP for Financial Health & Scale
Senior ML Engineer — NLP for Financial Health & Scale

Senior ML Engineer — NLP for Financial Health & Scale

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Create impactful ML solutions for financial health and enhance user experience.
  • Company: Fast-growing fintech startup in London with a focus on innovation.
  • Benefits: Competitive pay, flexible work options, and personal growth opportunities.
  • Why this job: Join a dynamic team and make a real difference in financial technology.
  • Qualifications: Strong ML expertise, data science knowledge, and excellent communication skills.
  • Other info: Exciting environment with great potential for career advancement.

The predicted salary is between 48000 - 72000 £ per year.

A fast-growing fintech startup in London seeks a Senior Machine Learning Engineer to create impactful solutions for financial health. This role involves training models, deploying them, and collaborating with various teams to enhance user experience.

Ideal candidates should have:

  • Strong machine learning expertise
  • A solid understanding of data science principles
  • Excellent communication skills

This position offers a competitive compensation package, flexible work, and opportunities for personal growth.

Senior ML Engineer — NLP for Financial Health & Scale employer: cleo

Join a dynamic fintech startup in London that prioritises innovation and employee well-being. With a competitive compensation package, flexible working arrangements, and a culture that fosters collaboration and personal growth, this is an excellent opportunity for those looking to make a meaningful impact in the financial health sector.
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Contact Detail:

cleo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Engineer — NLP for Financial Health & Scale

Tip Number 1

Network like a pro! Reach out to people in the fintech space, especially those working with machine learning. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your ML projects, especially those related to NLP or financial health. 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 technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments.

Tip Number 4

Don’t forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm!

We think you need these skills to ace Senior ML Engineer — NLP for Financial Health & Scale

Machine Learning Expertise
Natural Language Processing (NLP)
Data Science Principles
Model Training
Model Deployment
Collaboration Skills
User Experience Enhancement
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your machine learning expertise and experience in NLP. We want to see how your skills align with our mission to enhance financial health, 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 fintech and how your background makes you the perfect fit for this role. Let us know what excites you about working with us at StudySmarter.

Showcase Collaboration Skills: Since this role involves working with various teams, highlight any past experiences where you’ve successfully collaborated. We love seeing candidates who can communicate effectively and work well with others to create impactful solutions.

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, we love seeing applications come in through our own platform!

How to prepare for a job interview at cleo

Know Your ML Fundamentals

Brush up on your machine learning principles, especially those relevant to NLP and financial health. Be ready to discuss algorithms, model training, and deployment strategies, as these will likely come up during the interview.

Showcase Your Projects

Prepare to talk about specific projects you've worked on that relate to financial health or NLP. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.

Collaborative Mindset

Since this role involves working with various teams, be prepared to discuss how you’ve successfully collaborated in the past. Share examples of how you communicated complex ideas to non-technical stakeholders, as this will showcase your communication skills.

Ask Insightful Questions

Prepare thoughtful questions about the company's approach to financial health and their tech stack. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.

Senior ML Engineer — NLP for Financial Health & Scale
cleo

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