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- Tasks: Design and develop innovative Microsoft Azure AI solutions while leading agile AI projects.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with endless opportunities for career advancement.
- Why this job: Be part of groundbreaking AI projects that shape the future of technology.
- Qualifications: 3+ years in AI solution engineering, strong Python skills, and knowledge of AI/ML governance.
The predicted salary is between 60000 - 80000 £ per year.
Experis is seeking an AI Architect for a hybrid position based in the United Kingdom. This role involves designing and developing Microsoft Azure AI solutions and leading the agile development of AI projects.
Candidates must have at least 3 years of experience in AI solution engineering, strong Python skills, and familiarity with governance frameworks for AI/ML models.
The position offers the chance to work on innovative AI projects in a dynamic environment.
AI Architect - Hybrid Role for Azure AI & LLM Solutions in London employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect - Hybrid Role for Azure AI & LLM Solutions in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or attend local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Azure and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI architecture questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence.
✨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 Architect - Hybrid Role for Azure AI & LLM Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI solution engineering and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects you've worked on!
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 contribute to our innovative projects. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any AI/ML projects, make sure to mention them! We’re interested in your hands-on experience, especially with Azure AI solutions. Include links or descriptions that demonstrate your expertise.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Experis
✨Know Your Azure AI Inside Out
Make sure you brush up on your knowledge of Microsoft Azure AI solutions. Familiarise yourself with the latest features and best practices, as well as any recent updates. Being able to discuss specific projects or experiences where you've successfully implemented Azure AI will really impress the interviewers.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Practising common algorithms or data structures in Python can help you feel more confident during the interview.
✨Understand AI Governance Frameworks
Familiarity with governance frameworks for AI/ML models is crucial. Research the key principles and regulations that guide ethical AI development. Be ready to discuss how you've applied these frameworks in past projects or how you would approach them in future work.
✨Prepare for Agile Development Questions
As this role involves leading agile development, expect questions about your experience with agile methodologies. Think of examples where you've successfully led a team or adapted to changes in project requirements. Highlight your ability to collaborate and communicate effectively within an agile environment.