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- Tasks: Lead the design and production of real-time ML solutions in fintech.
- Company: Dynamic fintech company focused on innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in finance with cutting-edge machine learning technology.
- Qualifications: 5+ years in machine learning, especially in fintech, with skills in Python, SQL, and PySpark.
- Other info: Join a team that values creativity and offers exciting project opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A fintech company in the United Kingdom is seeking a Senior Machine Learning Engineer to lead the design and production of real-time ML solutions. You will work closely with various teams to develop advanced fraud detection and forecasting systems.
The ideal candidate has over 5 years of experience in machine learning, particularly in fintech, and is proficient in technologies such as Python, SQL, and PySpark.
Join us for an exciting opportunity to contribute to innovative projects in the finance sector.
Senior ML Engineer - Real-Time Fintech AI (Remote) in London employer: Edison Smart®
Contact Detail:
Edison Smart® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Real-Time Fintech AI (Remote) in London
✨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 friendly chat can sometimes lead to job openings that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to real-time solutions or fraud detection. 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 problem-solving skills. Practice common ML scenarios and be ready to discuss how you've tackled challenges in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right fit for your skills and experience. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior ML Engineer - Real-Time Fintech AI (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and fintech. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and technologies like Python, SQL, and PySpark.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about real-time ML solutions and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems in machine learning. We love seeing how you approach challenges, especially in the fast-paced world of fintech.
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. Don’t miss out!
How to prepare for a job interview at Edison Smart®
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and PySpark. Brush up on your knowledge of machine learning algorithms and real-time data processing. Be ready to discuss specific projects where you've applied these technologies, as this will show your hands-on experience.
✨Understand the Fintech Landscape
Familiarise yourself with current trends and challenges in the fintech industry, especially around fraud detection and forecasting systems. This will help you demonstrate your understanding of the sector and how your skills can contribute to innovative solutions.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and coding abilities. Practice coding challenges related to machine learning and be prepared to explain your thought process clearly. This will showcase your analytical skills and ability to work under pressure.
✨Showcase Your Teamwork Skills
Since you'll be working closely with various teams, highlight your collaboration experiences. Share examples of how you've successfully worked in cross-functional teams to deliver projects. This will illustrate your ability to communicate effectively and contribute to a team-oriented environment.
