At a Glance
- 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
Python Developer Contract in City of London employer: Station
Contact Detail:
Station Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer Contract in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect Python Developer role!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving AI and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your experience with Python and AI frameworks. We all know how crucial it is to demonstrate your expertise during those high-stakes conversations!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals to join our team and make an impact in the fintech world!
We think you need these skills to ace Python Developer Contract 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 this role and how your background makes you a perfect fit for our fintech team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any AI-driven projects or built scalable backend systems, make sure to mention them. We love seeing real examples of your work, so link to your GitHub or portfolio if you can!
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 don’t miss out on any important updates from our team!
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.
✨Familiarise Yourself with AI and LLMs
Since this role focuses on AI and Large Language Models, dive deep into these topics. Understand the latest frameworks and be prepared to discuss your hands-on experience with prompt engineering, fine-tuning, and any relevant projects you've worked on.
✨Showcase Your Collaboration Skills
This position involves working closely with product, data, and engineering teams. Think of examples from your past experiences where you successfully collaborated with others to bring AI-driven features into production. Highlight your teamwork and communication skills.
✨Prepare Questions About the Company
Research the fintech company and prepare insightful questions about their products and vision. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of redefining financial data through AI.