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- Tasks: Develop AI solutions to enhance risk digitisation in commercial insurance.
- Company: Leading technology firm with a focus on innovation and collaboration.
- Benefits: Industry-leading benefits, continuous learning opportunities, and remote work flexibility.
- Why this job: Join a cutting-edge team and make a real impact in the AI field.
- Qualifications: Strong analytical skills, proficiency in Python, and a passion for AI.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm seeks an AI Engineer to develop core Large Language Model services, enhancing risk digitization in commercial insurance. This remote-first role requires strong analytical and problem-solving skills, proficiency in Python, and a passion for AI.
The successful candidate will collaborate with cross-functional teams to design and implement effective LLM solutions. Opportunities for continuous learning and industry-leading benefits are offered.
LLM AI Engineer for Risk Digitisation (Remote UK) in London employer: Cytora
Contact Detail:
Cytora Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM AI Engineer for Risk Digitisation (Remote UK) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and insurance sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for AI.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your proficiency in Python and LLM solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and risk digitisation topics. Practice explaining complex concepts in simple terms, as you'll need to collaborate with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace LLM AI Engineer for Risk Digitisation (Remote UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Large Language Models 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 express your passion for AI and risk digitisation. We love seeing candidates who can articulate their motivation and how they can contribute to our team.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We’re looking for analytical thinkers, so share specific instances where you’ve used your skills to find innovative 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. Plus, it’s super easy!
How to prepare for a job interview at Cytora
✨Know Your LLMs
Make sure you brush up on your knowledge of Large Language Models. Be ready to discuss their applications in risk digitisation, especially in commercial insurance. Show how your understanding can contribute to the company's goals.
✨Showcase Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain a project where you used Python effectively. Have examples ready that highlight your analytical and problem-solving abilities.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so be prepared to discuss your experience in collaboration. Share specific examples of how you've successfully worked with others to design and implement solutions, and how you handle differing opinions.
✨Embrace Continuous Learning
The company values continuous learning, so express your enthusiasm for staying updated in the AI field. Mention any recent courses, certifications, or projects that showcase your commitment to professional growth and how you plan to keep evolving in your career.
