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- Tasks: Innovate AI solutions and develop custom software in a hybrid role.
- Company: Leading technology firm with a focus on cutting-edge AI.
- Benefits: Competitive salary, hybrid working, and flexible office attendance.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience with Azure and a passion for AI development.
- Other info: Permanent position with great career advancement opportunities.
The predicted salary is between 70000 - 90000 £ per year.
A leading technology firm is looking for an AI DevOps Engineer to innovate AI solutions within custom software. This permanent role offers a competitive salary between £70,000-90,000 and allows for hybrid working, with office attendance required only 1 to 2 days a week in either Glasgow or London City.
The ideal candidate will have experience with Azure technologies and a passion for AI development. If this resonates with your career goals, please submit your CV for review.
Hybrid AI DevOps Engineer — Azure & Kubernetes employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid AI DevOps Engineer — Azure & Kubernetes
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech 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 and DevOps expertise. This is your chance to shine and demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI DevOps roles and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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 Hybrid AI DevOps Engineer — Azure & Kubernetes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Kubernetes. We want to see how your skills align with the AI solutions we’re innovating, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI development and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool AI or DevOps projects, make sure to mention them! We’re keen to see real examples of your work, so include links or descriptions that demonstrate your expertise and creativity.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Huxley
✨Know Your Tech Inside Out
Make sure you brush up on your Azure and Kubernetes knowledge. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Show Your Passion for AI
Since the role focuses on innovating AI solutions, be prepared to share your thoughts on current trends in AI development. Discuss any personal projects or research you've done that showcases your enthusiasm for the field.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach deploying an AI solution using Azure and Kubernetes, and be ready to explain your thought process.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the company's future AI projects or how they integrate DevOps practices with AI development. This shows your genuine interest in the role and the company.
