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- Tasks: Design and deliver AI solutions for financial products using LLM technologies.
- Company: Leading financial data provider in the UK with a collaborative culture.
- Benefits: Flexible hours, hybrid working, enhanced leave, and learning opportunities.
- Other info: Exciting career growth in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of finance with AI.
- Qualifications: Strong programming skills in Python and TypeScript, plus AI/ML experience.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial data provider in the UK is seeking a Senior Software Engineer to design and deliver AI solutions for financial products. This role involves building and maintaining scalable data pipelines and integrating LLM technologies.
The ideal candidate will possess strong programming skills, particularly in Python and TypeScript, and have hands-on experience in AI/ML.
The company offers a collaborative environment with hybrid working options, flexible hours, and robust employee benefits, including enhanced leave and learning opportunities.
Senior AI Solutions Engineer – LLMs & Data Pipelines (Hybrid) employer: FE fundinfo
Contact Detail:
FE fundinfo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Solutions Engineer – LLMs & Data Pipelines (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving AI/ML and data pipelines. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Ace the interview by practising common technical questions related to Python and TypeScript. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Solutions Engineer – LLMs & Data Pipelines (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML and data pipelines. We want to see how your skills in Python and TypeScript can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI solutions and how you can contribute to our collaborative environment. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially related to building scalable solutions. 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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at FE fundinfo
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and TypeScript. Be ready to discuss your previous projects involving AI/ML and how you've built scalable data pipelines. The more specific examples you can provide, the better!
✨Understand the Financial Sector
Since this role is with a financial data provider, it’s crucial to have a grasp of the industry. Familiarise yourself with common financial products and how AI can enhance them. This will show that you’re not just a tech whiz but also understand the business context.
✨Showcase Your Collaboration Skills
This company values a collaborative environment, so be prepared to discuss how you’ve worked in teams before. Share examples of how you’ve contributed to group projects or helped colleagues solve problems, highlighting your communication skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the technologies they use, or their approach to integrating LLMs. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.