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- Tasks: Lead the development of AI solutions and optimise ML pipelines for real-world applications.
- Company: Global insurance firm with a focus on innovation and analytics.
- Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in the insurance industry.
- Qualifications: 5+ years in AI/ML engineering and strong Python skills required.
- Other info: Collaborative environment with a focus on cutting-edge technology.
The predicted salary is between 54000 - 84000 £ per year.
A global insurance firm is seeking an AI Engineer to join their Global Analytics team in London. This role emphasizes the end-to-end lifecycle of AI production, including the adaptation of Large Language Models and the optimization of inference pipelines. Candidates should have over 5 years of experience in AI/ML engineering and possess deep proficiency in Python. The ideal candidate will work closely with stakeholders to ensure robust and reliable AI solutions.
Senior AI Engineer: Production-Scale ML & LLM Pipelines in City of Westminster employer: Chubb
Contact Detail:
Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Production-Scale ML & LLM Pipelines in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Large Language Models. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding the end-to-end lifecycle of AI production. We recommend practising common technical questions and scenarios related to inference pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer: Production-Scale ML & LLM Pipelines in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML engineering, especially with Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
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 your background makes you a perfect fit for our Global Analytics team. Let us know what excites you about working with Large Language Models.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in AI production or optimised inference pipelines. We love seeing how you approach problems and come up with 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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Chubb
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI production and Large Language Models. Be ready to discuss specific projects you've worked on, especially those involving the end-to-end lifecycle of AI solutions. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Python Skills
Since deep proficiency in Python is a must for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to optimising inference pipelines. Practise coding challenges related to AI/ML to keep your skills sharp.
✨Engage with Stakeholders
This role involves working closely with stakeholders, so be prepared to discuss how you’ve collaborated with different teams in the past. Share examples of how you’ve gathered requirements and ensured that AI solutions meet business needs. This will highlight your communication skills and ability to work in a team.
✨Prepare Questions
Interviews are a two-way street, so think of insightful questions to ask about the company’s AI initiatives and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation.
