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- Tasks: Design and build scalable backend systems using Python for AI-driven fintech products.
- Company: Fast-growing fintech scale-up in London, redefining financial data with AI.
- Benefits: Competitive salary, meaningful equity, and flexible hybrid working.
- Other info: Collaborate with talented teams and enjoy a dynamic work environment.
- Why this job: Join a high-impact role and work on innovative AI products that make a difference.
- Qualifications: Strong Python experience and hands-on knowledge of AI and LLMs.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with a fast-growing fintech company in London that’s redefining how financial data is leveraged through cutting-edge AI. They’re now looking for a Python Engineer with strong experience in AI and Large Language Models (LLMs) to help build intelligent, scalable products used by thousands of customers.
This is a high-impact role where you’ll work closely with product, data, and engineering teams to bring AI-driven features into production.
- Designing and building scalable backend systems using Python
- Working with modern AI frameworks
- Collaborating with data scientists to productionise models
- Improving system performance, reliability, and scalability
- Strong experience with Python in a production environment
- Hands-on experience with LLMs or applied AI (prompt engineering, fine-tuning, RAG, etc.)
- Experience building APIs and backend services
- Work on genuinely impactful AI products in fintech
Competitive salary + meaningful equity
Flexible hybrid working in London
Contract Python Developer in City of London employer: Station
Contact Detail:
Station Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Python Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. Join relevant groups and engage in discussions. You never know who might have a lead on that perfect Python Engineer role!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving AI and LLMs. This is a great way to demonstrate your hands-on experience and make you stand out to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AI knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We all know how crucial it is to impress during those interviews!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers directly.
We think you need these skills to ace Contract Python Developer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI, especially any work with LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about working in fintech and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any AI-driven projects or built APIs, make sure to mention them. We love seeing real examples of your work, so include links or descriptions that demonstrate your impact.
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!
How to prepare for a job interview at Station
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience in a production environment, especially with scalable backend systems. Practise coding challenges that focus on Python to demonstrate your proficiency.
✨Showcase Your AI Knowledge
Since this role focuses on AI and LLMs, prepare to talk about your hands-on experience with these technologies. Be ready to discuss specific projects where you've applied prompt engineering or fine-tuning, and how you collaborated with data scientists to bring models into production.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry and the company's mission. Knowing how financial data is leveraged through AI will help you connect your skills to their needs. This shows genuine interest and can set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their AI-driven products and the team dynamics. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.