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- Tasks: Enhance AI capabilities and deploy innovative solutions in the insurance sector.
- Company: Leading UK insurance company focused on innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and drive AI innovation in the insurance industry.
- Qualifications: Experience in machine learning, NLP models, and proficiency in Python required.
- Other info: Exciting role with potential for significant impact and career advancement.
The predicted salary is between 70000 - 80000 £ per year.
A leading insurance company in the UK is seeking an experienced AI Engineer to enhance its AI capabilities across various teams. This hybrid role involves identifying AI use cases, deploying cutting-edge solutions, and collaborating with various stakeholders to drive innovation in the field of insurance.
Candidates should have a background in machine learning, especially in NLP models, and be proficient in Python.
The role offers a competitive salary ranging from £70,000 to £80,000 based on experience.
AI Engineer — Hybrid GenAI for Insurance in Eastleigh employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — Hybrid GenAI for Insurance in Eastleigh
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP models. 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 machine learning questions. We recommend practising coding challenges in Python to demonstrate your technical prowess during the interview.
✨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 Engineer — Hybrid GenAI for Insurance in Eastleigh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and NLP models. We want to see how your skills align with the AI capabilities we're looking to enhance in our teams.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI in insurance and how you can drive innovation. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool AI projects, especially in Python, make sure to mention them. We love seeing practical examples of your work and how you've tackled real-world problems.
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 Ageas
✨Know Your AI Stuff
Make sure you brush up on your machine learning and NLP models before the interview. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can give you an edge.
✨Understand the Insurance Landscape
Familiarise yourself with how AI is transforming the insurance industry. Research current trends and potential use cases for AI in insurance. This will help you engage in meaningful conversations with your interviewers about how you can contribute to their goals.
✨Collaborate and Communicate
This role involves working with various stakeholders, so highlight your collaboration skills. Prepare examples of how you've successfully worked in teams or communicated complex ideas to non-technical colleagues. This will demonstrate that you're not just a tech whiz but also a team player.
