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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 and make a real difference in fintech.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. A personal referral can make all the difference when applying for roles like Senior ML Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to payments or financial services. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML algorithms and backend application knowledge. Practice coding challenges and be ready to discuss your past projects in detail—this is where we can really shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way.
We think you need these skills to ace Senior ML Engineer, Payments — Remote Impact
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 financial technology and how your expertise can enhance user access to financial services. Let us know what excites you about this opportunity!
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 payments or financial services.
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!
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.
