Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of innovative AI features for financial market analytics.
- Company: Dynamic financial technology company based in Greater London.
- Benefits: Competitive salary, hybrid working options, and opportunities for professional growth.
- Why this job: Make a real impact by building AI capabilities that enhance user experience.
- Qualifications: Strong background in full-stack software engineering and experience with LLMs.
- Other info: Join a forward-thinking team and contribute to cutting-edge financial solutions.
The predicted salary is between 60000 - 80000 £ per year.
A financial technology company in Greater London is seeking a hands-on AI Engineer to lead the design and delivery of innovative AI features for financial market analytics. The ideal candidate will have a strong background in full-stack software engineering and experience with LLMs, AI agents, and cloud-based platforms like AWS Bedrock.
This role involves building AI capabilities that integrate seamlessly with trade surveillance systems, making significant contributions to customer insights and enhancing user experience. Competitive salary and hybrid working options are available.
Hybrid AI Engineer: LLMs for Financial Analytics employer: TradingHub
Contact Detail:
TradingHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid AI Engineer: LLMs for Financial Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech space, especially those working with AI and LLMs. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and financial analytics. This is your chance to demonstrate how you can bring value to the team.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of cloud platforms like AWS Bedrock. Be ready to discuss how you've used these tools in past projects to solve real-world problems.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Hybrid AI Engineer: LLMs for Financial Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and cloud platforms like AWS Bedrock. 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 the role and how your background in full-stack software engineering makes you the perfect fit for our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in AI or financial analytics. We love seeing candidates who can think critically and innovate!
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 TradingHub
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially LLMs and cloud platforms like AWS Bedrock. Brush up on your full-stack software engineering skills and be ready to discuss how you've applied them in previous projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in AI and financial analytics. Think about times when you’ve built or improved AI features and be ready to explain your thought process and the impact of your work.
✨Understand the Financial Landscape
Familiarise yourself with the financial market analytics space. Knowing how AI can enhance trade surveillance systems will give you an edge. Be prepared to discuss current trends and how they relate to the role.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company and the role. Inquire about their current projects involving AI and how they envision the future of financial analytics. This shows you’re engaged and thinking ahead.