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- Tasks: Innovate and scale AI solutions while enhancing customer experiences.
- Company: Leading UK insurance firm with a focus on innovation.
- Benefits: Competitive pay, flexible working options, and health support.
- Why this job: Join a dynamic team to shape the future of AI in insurance.
- Qualifications: Expertise in NLP models, Python, and AGILE methodologies.
- Other info: Hybrid working environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading UK insurance firm is seeking an AI Engineer to innovate and scale AI solutions in a hybrid working environment. You will collaborate with stakeholders and cross-functional teams to enhance customer experiences.
Ideal candidates will have expertise in NLP models and Python, along with a strong foundation in AGILE methodologies.
This role offers competitive pay and extensive benefits, including flexible working options and health support.
Genai Engineer employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Genai Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects or any AI solutions you've developed. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on AGILE methodologies and Python. Practice common interview questions related to AI engineering and be ready to discuss how you've used these skills in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, you'll be one step closer to joining a team that's all about innovation and collaboration.
We think you need these skills to ace Genai Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP 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 explain why you’re excited about the AI Engineer position and how you can contribute to enhancing customer experiences. Let your personality come through!
Showcase Your AGILE Experience: Since we value AGILE methodologies, be sure to mention any relevant experience you have. Whether it’s working in sprints or collaborating with cross-functional teams, we want to know how you’ve thrived in an AGILE 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 during the process!
How to prepare for a job interview at Ageas
✨Know Your NLP Inside Out
Make sure you brush up on your knowledge of Natural Language Processing (NLP) models. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your expertise and passion for the field.
✨Showcase Your Python Skills
Prepare to demonstrate your Python proficiency. You might be asked to solve a coding problem or explain your approach to building AI solutions. Practising common algorithms and data structures in Python can give you an edge.
✨Understand AGILE Methodologies
Since the role requires a strong foundation in AGILE, be prepared to discuss your experience with AGILE practices. Share examples of how you've collaborated with cross-functional teams and adapted to changes during projects.
✨Engage with Stakeholders
This position involves collaboration with various stakeholders, so think about how you can effectively communicate technical concepts to non-technical team members. Prepare some examples of how you've successfully engaged with stakeholders in past projects.
