In‑House AI Infrastructure Architect (London) in City of London
In‑House AI Infrastructure Architect (London)

In‑House AI Infrastructure Architect (London) in City of London

City of London Full-Time 72000 - 84000 £ / year (est.) No home office possible
Go Premium
D

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 design, programming skills, and ML application deployment.

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) in City of 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 chance to lead impactful AI projects while mentoring the next generation of engineers. Enjoy competitive compensation, comprehensive benefits, and the opportunity to grow your career in a dynamic and supportive environment.
D

Contact Detail:

Digital Waffle Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land In‑House AI Infrastructure Architect (London) in City of London

Tip Number 1

Network like a pro! Reach out to folks in the AI field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects and MLOps workflows. This is your chance to demonstrate your programming prowess and system design experience, so make it shine!

Tip Number 3

Prepare for those interviews! Brush up on common AI and ML questions, and be ready to discuss your past experiences in deploying ML applications. We want you to feel confident and ready to impress!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

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

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

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. Let us know what excites you about this opportunity at StudySmarter.

Showcase Your Projects: If you've deployed ML applications or worked on relevant projects, include them in your application. We love seeing real-world examples of your work, so don’t hold back on sharing your achievements!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!

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 your past projects and how you've tackled challenges in deploying ML applications. This will show that you’re not just familiar with the theory but have practical experience too.

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, so practice common algorithms and data structures beforehand. It’s all about showing you can walk the walk!

MLOps Workflows Are Key

Familiarise yourself with MLOps workflows and be ready to explain how you’ve managed them in previous roles. Discussing specific tools and methodologies you’ve used will highlight your expertise and readiness for the role.

Mentorship Mindset

As mentoring junior engineers is part of the job, think about your approach to teaching and guiding others. Prepare examples of how you’ve supported colleagues in the past, as this will demonstrate your leadership potential and collaborative spirit.

In‑House AI Infrastructure Architect (London) in City of London
Digital Waffle
Location: City of London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

D
  • In‑House AI Infrastructure Architect (London) in City of London

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

    Digital Waffle

    50-100
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>