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- Tasks: Create innovative workflows for task automation using AI and automation technologies.
- Company: Global financial software provider based in Greater London.
- Benefits: Competitive salary, excellent benefits, and career growth opportunities.
- Why this job: Join a cutting-edge team and make a real impact in the finance sector.
- Qualifications: 5+ years of experience with LLM, Python, Databricks, and AWS.
- Other info: Collaborate with data scientists and engineers in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A global financial software provider in Greater London seeks a skilled software engineer for their AI & Automation team. You will develop innovative workflows for task automation in both in-house and third-party systems.
The ideal candidate has over 5 years of experience, particularly with LLM and AI solutions using Python, Databricks, and AWS. You will collaborate closely with data scientists and engineers to produce high-quality automation solutions.
This position includes competitive benefits and opportunities for career growth.
AI & Automation Engineer—LLM & Data Pipelines in London employer: FactSet Research Systems Inc.
Contact Detail:
FactSet Research Systems Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Automation Engineer—LLM & Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space, especially those who work with LLMs and data pipelines. 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, especially those involving Python, Databricks, and AWS. This will give potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI solutions. Practice common interview questions and be ready to demonstrate your problem-solving abilities on the spot.
✨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 AI & Automation Engineer—LLM & Data Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM and AI solutions, especially using Python, Databricks, and AWS. 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 passionate about AI & Automation and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Collaboration Skills: Since you'll be working closely with data scientists and engineers, highlight any past experiences where teamwork made a difference. We love seeing how you can contribute to a collaborative environment!
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 FactSet Research Systems Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, Databricks, and AWS. Be ready to discuss specific projects where you've implemented LLM and AI solutions. The more detailed examples you can provide, the better!
✨Showcase Your Collaboration Skills
Since you'll be working closely with data scientists and engineers, prepare to talk about your experience in team settings. Highlight any successful collaborations and how you contributed to achieving common goals.
✨Prepare for Problem-Solving Questions
Expect questions that test your problem-solving abilities, especially related to automation workflows. Think of scenarios where you faced challenges and how you overcame them using innovative solutions.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's approach to AI and automation. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
