At a Glance
- Tasks: Lead a team to shape AI strategy and deliver impactful solutions.
- Company: A leading insurance company at the forefront of AI technology.
- Benefits: Competitive salary, flexible working, and extensive health and family support.
- Why this job: Influence the future of insurance with cutting-edge AI technology.
- Qualifications: Experience in AI and leadership skills required.
- Other info: Hybrid role with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance company is seeking a Lead AI Engineer to shape their AI strategy and deliver impactful solutions. The role involves leading a team, driving AI project delivery, and mentoring team members. This hybrid position located in the UK offers a competitive salary and various employee benefits including flexible working arrangements and extensive health and family support. Join this opportunity to influence the future of insurance with cutting-edge AI technology.
Lead AI Engineer — Drive Production NLP & AI Strategy (Hybrid) in Manchester employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer — Drive Production NLP & AI Strategy (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your past AI projects, especially those related to NLP. We want to demonstrate how our experience aligns with their needs and how we can drive impactful solutions.
✨Tip Number 3
Practice makes perfect! Set up mock interviews with friends or use online platforms. We need to be ready to discuss our leadership style and how we can mentor team members effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we can shape their AI strategy and influence the future of insurance.
We think you need these skills to ace Lead AI Engineer — Drive Production NLP & AI Strategy (Hybrid) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your experience in NLP and AI strategy, as well as any leadership roles you've held. We want to see how you can drive project delivery and mentor others!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can influence the future of insurance. Be sure to mention specific projects or achievements that demonstrate your expertise and leadership abilities.
Showcase Your Team Leadership Skills: Since this role involves leading a team, make sure to highlight your experience in mentoring and guiding others. Share examples of how you've successfully led projects and supported your team members in their growth. We love seeing collaboration in action!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we’re excited to see your application come through!
How to prepare for a job interview at Ageas
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and NLP. Be ready to discuss your previous projects and how they relate to the insurance industry. This shows that you’re not just knowledgeable but also passionate about applying AI in real-world scenarios.
✨Show Leadership Skills
As a Lead AI Engineer, you'll be expected to lead a team. Prepare examples of how you've successfully managed projects or mentored others in the past. Highlight your ability to inspire and guide a team towards achieving their goals.
✨Understand the Company’s Vision
Research the insurance company’s current AI initiatives and challenges. Tailor your responses to show how your skills can help shape their AI strategy. This demonstrates your genuine interest in the role and how you can contribute to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI projects and future plans. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career aspirations. It’s a two-way street!