Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain CI/CD pipelines for an innovative AI/ML platform.
- Company: Leading recruitment company with a focus on cutting-edge technology.
- Benefits: Flexible working arrangements and the chance to work on exciting projects.
- Why this job: Join a forward-thinking team and make a real impact in AI innovation.
- Qualifications: Strong Azure experience and proficiency in GitLab CI and Docker workflows.
- Other info: 9-month role with opportunities for growth in a dynamic environment.
The predicted salary is between 50000 - 60000 £ per year.
A leading recruitment company is seeking an experienced DevOps Engineer for a 9-month role, primarily UK-based with flexible arrangements. You will support the Enterprise Data Platform by designing and maintaining CI/CD pipelines, managing Docker workflows, and implementing Infrastructure as Code using Terraform.
Strong experience with Azure is essential, as well as proficiency in GitLab CI and container orchestration. Join a forward-thinking team focused on cutting-edge AI platforms, and make a significant impact on scalability and innovation.
Azure DevOps Engineer for AI/ML Platform employer: Outsource UK
Contact Detail:
Outsource UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure DevOps Engineer for AI/ML Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or AI/ML platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your CI/CD pipelines, Docker workflows, and any Infrastructure as Code projects you've worked on. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Azure knowledge and GitLab CI skills. Practice common DevOps scenarios and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining a forward-thinking team focused on innovation.
We think you need these skills to ace Azure DevOps Engineer for AI/ML Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, CI/CD pipelines, and Docker workflows. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI/ML platforms and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Be specific about your proficiency in GitLab CI and Terraform. We love seeing concrete examples of how you've used these tools in past roles, so include any relevant achievements or projects.
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. Don’t miss out!
How to prepare for a job interview at Outsource UK
✨Know Your Tech Inside Out
Make sure you brush up on your Azure knowledge, especially around CI/CD pipelines and Docker workflows. Be ready to discuss specific projects where you've implemented Infrastructure as Code using Terraform, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in previous roles and how you tackled them. This is particularly important for a role focused on scalability and innovation, so think about how you've improved processes or solved complex issues in the past.
✨Familiarise Yourself with GitLab CI
Since proficiency in GitLab CI is essential, make sure you can talk about your experience with it. Consider preparing a mini-case study of a project where you used GitLab CI effectively, highlighting any unique solutions you implemented.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s approach to AI/ML platforms and how they envision the role contributing to their goals. This shows your genuine interest and helps you gauge if the company is the right fit for you.