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- Tasks: Train AI/ML models and collaborate to improve financial services access.
- Company: Leading financial technology company focused on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team making a real difference in financial technology.
- Qualifications: 5+ years in AI/ML and a Master's degree in a relevant field.
- Other info: Exciting remote role with a strong focus on collaboration.
The predicted salary is between 54000 - 90000 £ per year.
A financial technology company is seeking a Senior Machine Learning Engineer to join its payments-focused ML team. The role involves training AI/ML models and collaborating with various teams to enhance user access to financial services.
Ideal candidates will have:
- 5+ years in AI/ML
- Experience in backend applications
- A Master's degree in a relevant field
This is a remote position with a competitive salary range from $225,600 to $337,200 per year based on location.
Senior ML Engineer, Payments — Remote Impact in London employer: ChatGPT Jobs
Contact Detail:
ChatGPT Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, Payments — Remote Impact in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and AI/ML space. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to payments. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you've collaborated with teams in the past. We want to see how you can enhance user access to financial services!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior ML Engineer, Payments — Remote Impact in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience in AI/ML and any relevant backend applications. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing user access to financial services and how your background makes you a perfect fit for our payments-focused ML team.
Showcase Your Projects: If you've worked on any interesting AI/ML projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that relate to financial technology.
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 remote team!
How to prepare for a job interview at ChatGPT Jobs
✨Know Your ML Models Inside Out
Make sure you can discuss the AI/ML models you've worked on in detail. Be prepared to explain your approach to training these models, the challenges you faced, and how you overcame them. This shows your depth of knowledge and practical experience.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be ready to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to enhancing user access to financial services.
✨Brush Up on Backend Applications
Given the focus on backend applications, review your experience in this area. Be prepared to discuss specific technologies and frameworks you've used, and how they relate to machine learning in a payments context.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their ML team, the challenges they face, and how they measure success. This not only shows your interest but also helps you gauge if the company is the right fit for you.
