At a Glance
- Tasks: Design and build scalable backend systems using Python for AI-driven fintech products.
- Company: Fast-growing fintech company in London, redefining financial data with AI.
- Benefits: Competitive salary, meaningful equity, and flexible hybrid working.
- Other info: Collaborate with talented teams and enjoy excellent career growth opportunities.
- 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 Engineer in London employer: Station
Join a dynamic fintech scale-up in London that is at the forefront of AI innovation, where your contributions as a Python Engineer will directly impact the financial landscape. Enjoy a collaborative work culture that values flexibility and creativity, alongside competitive salaries and meaningful equity options. With ample opportunities for professional growth and the chance to work on transformative AI products, this role offers a rewarding career path in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python 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 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 want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Python Engineer in 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 this role. 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-world applications of your skills, so include links or descriptions of your work!
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, and prepare to showcase your understanding of backend systems and APIs. Practising coding challenges can help you feel more confident.
✨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 techniques like prompt engineering and fine-tuning. Being able to discuss your hands-on experience will set you apart from other candidates.
✨Collaborate and Communicate
This position involves working closely with product, data, and engineering teams. Prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can bridge the gap between technical and non-technical teams.
✨Showcase Your Impact
Be ready to discuss specific projects where you've made a significant impact, especially in fintech or AI. Use metrics to demonstrate your contributions, such as improved system performance or user engagement. This will help the interviewers see the value you can bring to their team.
