Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement AI-driven systems for FinTech platforms using Python.
- Company: Innovative FinTech startup in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, hybrid work model, and excellent benefits.
- Why this job: Join a dynamic team and work on impactful AI projects in finance.
- Qualifications: Strong Python skills and experience in Machine Learning and AI systems.
- Other info: Hands-on exposure to the latest technologies and great career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
An innovative FinTech startup in London is seeking a Senior Software Engineer with expertise in Machine Learning and Large Language Models. The ideal candidate will design and implement AI-driven systems, focusing on scalability and performance. This role involves collaboration with product teams and offers a hybrid work model.
Candidates should possess strong Python skills and a background in AI systems. The company provides competitive salary and benefits, with opportunities for hands-on exposure to cutting-edge technologies in finance.
Senior Python ML/LLM Engineer for FinTech Platforms in London employer: Cornspring
Contact Detail:
Cornspring Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python ML/LLM Engineer for FinTech Platforms in London
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those working with AI and ML. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving machine learning or large language models. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the tech interview! Brush up on your algorithms and data structures, and be ready to discuss your past projects in detail. We love to hear about your problem-solving process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Senior Python ML/LLM Engineer for FinTech Platforms in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in real-world projects, especially in the context of Machine Learning and AI systems.
Tailor Your Experience: When writing your application, focus on your experience with scalable systems and performance optimisation. We’re looking for someone who can design and implement AI-driven solutions, so make that clear!
Collaborate Like a Pro: Since this role involves working closely with product teams, share examples of your collaborative projects. We love seeing how you’ve worked with others to bring innovative ideas to life.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Cornspring
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially in relation to Machine Learning and AI systems. Prepare to showcase any projects you've worked on that highlight your coding prowess.
✨Understand ML and LLM Concepts
Since this role focuses on Machine Learning and Large Language Models, it's crucial to have a solid grasp of these concepts. Be prepared to explain how you've applied ML techniques in past projects and discuss any relevant frameworks or libraries you've used.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges or case studies. Practice solving problems related to scalability and performance in AI-driven systems. This will demonstrate your analytical thinking and ability to work under pressure.
✨Emphasise Collaboration Experience
This role involves working closely with product teams, so be ready to talk about your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to deliver projects, highlighting your communication skills and teamwork.
