At a Glance
- Tasks: Architect and develop scalable Back End services using Python and FastAPI for AI-driven solutions.
- Company: Join a leading global investment bank with a focus on innovative AI technology.
- Benefits: Competitive pay up to £640 a day, with opportunities for career growth.
- Other info: Work on complex engineering challenges in a dynamic financial setting.
- Why this job: Be part of a transformative AI initiative in a high-performing engineering environment.
- Qualifications: Expert-level Python skills and experience with FastAPI required.
We are partnering with a leading global investment bank to hire an exceptional Senior Python Software Engineer to join a newly formed AI engineering team focused on transforming risk functions through advanced AI and machine learning technologies.
This is a hands-on individual contributor role for a highly capable engineer with deep expertise in Python Back End development, scalable system design, and modern software engineering practices. You will play a key role in architecting and delivering robust, production-grade platforms that support cutting-edge AI-driven solutions within a complex financial environment.
This is an opportunity to join a strategically important AI initiative within a leading global financial institution, working on highly visible, business-critical AI products and large-scale risk technology platforms. You will gain exposure to cutting-edge AI technologies, complex engineering challenges, and significant career growth opportunities within a high-performing engineering environment.
Key Responsibilities- Architect and develop scalable Back End services using Python and FastAPI
- Build production-grade systems supporting AI/ML applications
- Design and implement solutions for analysing data, code, documentation, and workflow metadata
- Contribute to system architecture, scalability, reliability, and engineering best practices
- Work across containerised and cloud-native environments using Kubernetes/OpenShift
- Drive CI/CD, DevOps, and agile delivery practices
- Expert-level Python development experience
- Strong commercial experience with FastAPI
- Deep understanding of software design principles and architectural patterns
- Experience delivering enterprise-grade software solutions
- Strong knowledge of scalable distributed systems and Back End architecture
- Experience with Kubernetes, OpenShift, or similar container platforms
- Strong DevOps and CI/CD expertise
- Experience with Generative AI and LLM-based applications
- Familiarity with LLM frameworks and prompt engineering
- Financial services or risk technology experience
Senior Python Software Engineer (FastAPI) - AI & Risk Technology - Up to £640 a day (Inside IR35) in London employer: GL Global
Join a leading global investment bank that champions innovation and excellence in the financial sector. As a Senior Python Software Engineer, you will thrive in a dynamic work culture that prioritises collaboration and professional growth, offering exposure to cutting-edge AI technologies and significant career advancement opportunities. With competitive compensation and a focus on employee well-being, this role provides a unique chance to contribute to transformative AI initiatives within a complex and rewarding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Software Engineer (FastAPI) - AI & Risk Technology - Up to £640 a day (Inside IR35) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI and risk technology. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those using FastAPI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Python Software Engineer (FastAPI) - AI & Risk Technology - Up to £640 a day (Inside IR35) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your Python and FastAPI experience, and don’t forget to showcase any work with AI and risk technology. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and risk technology. Share specific examples of your past projects that demonstrate your expertise in scalable system design and modern software practices.
Showcase Your Projects:If you’ve worked on relevant projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve Python, FastAPI, or AI-driven solutions. It gives us a better idea of what you can bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at GL Global
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with FastAPI. Be ready to discuss your past projects and how you've used Python to solve complex problems. Practising coding challenges can also help you demonstrate your expertise during the interview.
✨Understand the AI & Risk Tech Landscape
Familiarise yourself with the latest trends in AI and risk technology. Knowing how these technologies impact financial services will show your potential employer that you're not just a tech whiz but also understand the business context of your work.
✨Showcase Your System Design Skills
Prepare to talk about your experience with scalable system design. Think of examples where you've architected solutions that are robust and production-ready. Being able to articulate your thought process will impress the interviewers.
✨Get Comfortable with DevOps Practices
Since this role involves CI/CD and DevOps, be ready to discuss your experience with these practices. Share specific examples of how you've implemented them in previous roles, particularly in containerised environments like Kubernetes or OpenShift.
