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- Tasks: Develop AI-powered solutions for digital rights and market data discovery.
- Company: Leading financial technology firm in the UK with a focus on innovation.
- Benefits: Exciting opportunities to work with cutting-edge technology in a dynamic environment.
- Why this job: Make a real impact by optimising market data discovery with innovative AI solutions.
- Qualifications: Hands-on experience with LLMs and expertise in Python required.
- Other info: Collaborate with stakeholders and contribute to a forward-thinking team.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial technology firm in the UK is seeking an Engineer Associate in their Market Data team. The role involves developing innovative AI-powered solutions to optimize digital rights and market data discovery. Candidates should have hands-on experience with LLMs and expertise in Python.
Responsibilities include:
- Designing document parsing solutions
- Collaborating with stakeholders
This position offers an exciting opportunity to contribute to cutting-edge technology in a dynamic environment.
GenAI Platform Engineer – AI Docs & Data Discovery in Scotland employer: Ubique Systems
Contact Detail:
Ubique Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Platform Engineer – AI Docs & Data Discovery in Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech space, especially those working with AI and data. 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 with LLMs and Python. This is your chance to demonstrate your hands-on experience and innovative solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of document parsing and market data discovery. We want you to feel confident discussing how you can contribute to cutting-edge technology.
✨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 are proactive about their job search.
We think you need these skills to ace GenAI Platform Engineer – AI Docs & Data Discovery in Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the GenAI Platform Engineer role and how you can contribute to our Market Data team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think outside the box and come up with innovative solutions, especially in AI and data discovery.
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 Ubique Systems
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and how they can be applied in market data discovery. Be ready to discuss specific projects or experiences where you've used LLMs, as this will show your hands-on expertise.
✨Showcase Your Python Skills
Prepare to demonstrate your Python proficiency during the interview. You might be asked to solve a coding problem or explain how you've used Python in previous projects, especially in relation to document parsing solutions.
✨Understand the Financial Tech Landscape
Familiarise yourself with the latest trends in financial technology, particularly those related to AI and data optimisation. Being able to discuss how these trends impact the industry will impress your interviewers and show that you're genuinely interested in the role.
✨Collaboration is Key
Since the role involves working with stakeholders, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve project goals, highlighting your communication skills and teamwork.
