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- Tasks: Architect and maintain innovative AI systems while leading a talented team.
- Company: Ambitious tech company in the UK focused on cutting-edge AI solutions.
- Benefits: Competitive salary up to £120k, flexible working, and professional growth opportunities.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Over 5 years of machine learning experience and proven AI deployment skills.
- Other info: Dynamic environment with excellent career advancement potential.
The predicted salary is between 72000 - 84000 £ per year.
An ambitious technology company in the UK seeks an AI Solutions Architect to build a cutting-edge AI environment. This role involves architecting, implementing, and maintaining AI systems, with responsibilities including MLOps design and team leadership.
Candidates should have over 5 years of experience in machine learning and a proven track record of deploying AI solutions in production.
The role offers a competitive salary of up to £120k, flexible working, and opportunities for professional growth.
Lead AI Infrastructure Architect in London employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Infrastructure Architect in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend tech meetups. Building connections can lead to job opportunities that aren't even advertised.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI projects and MLOps designs. Having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and machine learning questions. We recommend practising with a friend or using mock interview platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead AI Infrastructure Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and AI systems. We want to see how your skills align with the role of Lead AI Infrastructure Architect, so don’t hold back on showcasing your 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 the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to deploy AI solutions in production.
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 from our team!
How to prepare for a job interview at Digital Waffle
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and MLOps. Be ready to discuss your past projects and how you've successfully deployed AI solutions in production. This shows that you’re not just familiar with theory but have practical experience too.
✨Showcase Your Leadership Skills
Since this role involves team leadership, be prepared to share examples of how you've led teams in the past. Talk about your approach to mentoring others and how you handle challenges within a team. This will demonstrate your capability to lead effectively.
✨Prepare for Technical Questions
Expect some deep technical questions related to AI architecture and implementation. Brush up on your knowledge of different frameworks and tools. Practising common interview questions can help you articulate your thought process clearly during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current AI projects or their vision for future developments. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
