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- Tasks: Build and manage in-house AI infrastructure while mentoring junior engineers.
- Company: Leading technology company in London focused on AI innovation.
- Benefits: Competitive salary up to £120k and professional growth opportunities.
- Why this job: Join a cutting-edge AI environment and make a real impact in tech.
- Qualifications: Strong experience in AI system design and programming skills.
The predicted salary is between 72000 - 84000 £ per year.
A technology company in London is seeking an AI Solutions Architect to build their in-house AI environment, manage MLOps workflows, and mentor junior engineers. The ideal candidate has strong experience in AI system design, solid programming skills, and a track record in deploying ML applications. This full-time role offers a competitive salary of up to £120k, along with professional growth opportunities in a cutting-edge AI environment.
In‐House AI Infrastructure Architect (London) employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land In‐House AI Infrastructure Architect (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech scene on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, MLOps workflows, and any ML applications you've deployed. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI architecture questions and be ready to discuss your past experiences in detail. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace In‐House AI Infrastructure Architect (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI system design and MLOps workflows. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building in-house AI environments and how you can contribute to our team. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've deployed ML applications or mentored junior engineers, make sure to include those experiences. We love seeing real-world examples of your work, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Digital Waffle
✨Know Your AI Stuff
Make sure you brush up on your AI system design knowledge. Be ready to discuss specific projects you've worked on, especially those involving MLOps workflows. The more you can showcase your experience in deploying ML applications, the better!
✨Show Off Your Programming Skills
Since solid programming skills are a must, be prepared to talk about the languages and frameworks you're proficient in. You might even want to do a quick coding challenge or two to demonstrate your abilities. Practice common algorithms and data structures to keep your skills sharp.
✨Mentorship Matters
As this role involves mentoring junior engineers, think about examples where you've successfully guided others. Share your approach to mentoring and how you help others grow in their roles. This will show that you’re not just technically skilled but also a great team player.
✨Stay Current with AI Trends
The AI field is always evolving, so make sure you’re up-to-date with the latest trends and technologies. Bring up recent advancements or tools that excite you during the interview. This shows your passion for the field and your commitment to continuous learning.
