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- Tasks: Build and deploy innovative AI systems to streamline operations in fintech.
- Company: Join a leading fintech company known for its success and innovation.
- Benefits: Competitive pay, equity options, and a flexible hybrid working model.
- Why this job: Make a real impact by enhancing AI solutions that improve customer support.
- Qualifications: Strong Python skills and experience with LLMs in practical applications.
- Other info: Exciting opportunity for growth in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an AI Engineer to join the Data Science team and build production-grade Generative AI systems that streamline operations. You will work on projects such as:
- Enhancing internal chatbots for customer support
- Automating document parsing with schema extraction pipelines
- Designing LLM-driven workflows to simplify case management
This role combines applied AI engineering, business process design, and hands-on Python development.
What You’ll Do:
- Build and deploy real GenAI systems
- Work with LLMs, retrieval systems, and automation pipelines
- Own solutions from prototype to production
- Redesign processes using AI for maximum efficiency
Key Skills:
- Strong Python engineering experience
- Hands-on use of LLMs in real workflows
- Ability to design prompts, retrieval pipelines, and agentic flows
- Problem-solving in ambiguous environments
Why Join?
- Scale up with one of the most successful fintech companies
- Competitive compensation and equity
- Hybrid working model
Please note that sponsorship is not available for this position. Candidates must have the right to work in the UK.
AI Engineer - Fintech Innovation in London employer: Aspire
Contact Detail:
Aspire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Fintech Innovation in 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. You never know who might have a lead on that perfect AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios related to AI engineering and fintech. Practice explaining your thought process clearly; it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace AI Engineer - Fintech Innovation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python engineering experience and any hands-on 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! Use it to explain why you’re excited about the AI Engineer position and how your background in applied AI engineering can help us innovate in fintech.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled ambiguous problems in the past. We love candidates who can think on their feet and come up with creative solutions!
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 Aspire
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI systems and LLMs. Be ready to discuss how you've used Python in real-world projects, especially in automating processes or enhancing workflows.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to tackle ambiguous problems. Think about times when you've redesigned processes using AI to improve efficiency and be ready to share those stories.
✨Get Hands-On with Python
Since strong Python engineering experience is key, practice coding challenges or projects that demonstrate your skills. Be prepared to talk through your thought process during the interview.
✨Understand the Business Side
Familiarise yourself with the fintech industry and how AI can streamline operations. Being able to connect your technical skills to business outcomes will show that you understand the bigger picture.
