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- Tasks: Design and deploy innovative AI/ML solutions in a dynamic insurance firm.
- Company: Leading insurance firm in Bournemouth with a focus on innovation.
- Benefits: Competitive salary, hybrid working, holidays, and pension scheme.
- Why this job: Join a forward-thinking team and shape the future of AI in insurance.
- Qualifications: Expertise in Python, Java, and modern ML frameworks required.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance firm in Bournemouth is seeking a Senior AI Developer to design, develop, and deploy innovative AI/ML solutions. You will implement scalable systems within a microservices architecture and manage machine learning model lifecycle.
Ideal candidates have expertise in Python and Java, with hands-on experience in modern ML frameworks and cloud services.
The role allows for hybrid working, offering a competitive salary and comprehensive benefits, including holidays and a pension scheme.
Senior AI Architect: LLMs, Production ML & Microservices in Bournemouth employer: LV=
Contact Detail:
LV= Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Architect: LLMs, Production ML & Microservices in Bournemouth
✨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 Python, Java, and microservices. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to LLMs and production ML. We recommend practising coding challenges and discussing your past projects to highlight your expertise.
✨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 Senior AI Architect: LLMs, Production ML & Microservices in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Java, and modern ML frameworks. We want to see how your skills align with the role of Senior AI Architect, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you the perfect fit for this role. We love seeing enthusiasm and a personal touch!
Showcase Your Projects: If you've worked on any innovative AI/ML solutions or microservices architectures, be sure to mention them. We’re keen to see real-world applications of your skills, so include links or descriptions of your work!
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 a few clicks and you’re done!
How to prepare for a job interview at LV=
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Java skills, as well as the modern ML frameworks relevant to the role. Be prepared to discuss specific projects where you've implemented these technologies, showcasing your hands-on experience.
✨Understand Microservices Architecture
Since the role involves working within a microservices architecture, it’s crucial to understand how to design and deploy scalable systems. Familiarise yourself with the principles of microservices and be ready to explain how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in managing the machine learning model lifecycle. Think of examples where you had to troubleshoot or optimise models, and be ready to share your thought process and solutions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI/ML strategy, team dynamics, and the tools they use. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
