In‑House AI Infrastructure Architect (London)
In‑House AI Infrastructure Architect (London)

In‑House AI Infrastructure Architect (London)

London Full-Time 72000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build in-house AI systems while managing MLOps workflows.
  • Company: Leading tech 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 mentor the next generation of engineers.
  • Qualifications: Strong experience in AI system design and programming skills.
  • Other info: Exciting role with potential for significant career advancement.

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

Join a forward-thinking technology company in London that prioritises innovation and employee development. With a vibrant work culture that fosters collaboration and creativity, you'll have the opportunity to lead impactful AI projects while mentoring the next generation of engineers. Enjoy a competitive salary and the chance to grow your career in a dynamic environment at the forefront of AI technology.
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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 people in the AI field on LinkedIn or at local tech meetups. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects and MLOps workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for those interviews! Brush up on common AI architecture questions and be ready to discuss your past experiences in deploying ML applications. Confidence is key, so practice makes perfect!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace In‑House AI Infrastructure Architect (London)

AI System Design
MLOps Workflows
Mentoring
Programming Skills
Deploying ML Applications
Technical Architecture
Cloud Computing
Data Engineering
Collaboration Skills
Problem-Solving Skills

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 AI environments and mentoring others. We love seeing genuine enthusiasm for the field, so let your personality come through.

Showcase Your Projects: If you've deployed ML applications or worked on relevant projects, make sure to mention them! We’re keen to see real-world examples of your work, so 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 in our cutting-edge AI environment!

How to prepare for a job interview at Digital Waffle

Know Your AI Inside Out

Make sure you brush up on your knowledge of AI system design and MLOps workflows. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of experience and problem-solving skills.

Show Off Your Coding Skills

Since solid programming skills are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your approach to deploying ML applications. Practise common algorithms and coding challenges beforehand to feel confident.

Mentorship Matters

As mentoring junior engineers is part of the role, think about your past experiences in guiding others. Prepare examples of how you've helped team members grow, and be ready to share your philosophy on mentorship. This will highlight your leadership qualities.

Stay Current with 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 industry and your commitment to continuous learning.

In‑House AI Infrastructure Architect (London)
Digital Waffle
Location: London
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  • In‑House AI Infrastructure Architect (London)

    London
    Full-Time
    72000 - 84000 £ / year (est.)
  • D

    Digital Waffle

    50-100
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