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- Tasks: Engineer cloud-native MLOps solutions using Kubernetes and CI/CD for machine learning.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for skill enhancement.
- Why this job: Be part of a team that shapes the future of machine learning technology.
- Qualifications: Experience with Kubernetes, Python, and CI/CD in ML projects is essential.
- Other info: Exciting career growth in a dynamic and collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Qualifications
- Experience working with container orchestration platforms (e.g., Kubernetes) with production deployments.
- Cloud-native ML deployment experience using platforms such as SageMaker, Azure ML, and Vertex AI.
- Proficiency in Python, Bash, and scripting for automation.
- Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, and ARM.
- Strong grasp of Continuous Integration and Continuous Deployment (CI/CD) for Machine Learning projects.
Cloud-Native MLOps Engineer | Kubernetes & ML CI/CD in Leicester employer: VIRGULE INTERNATIONAL LIMITED
Contact Detail:
VIRGULE INTERNATIONAL LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud-Native MLOps Engineer | Kubernetes & ML CI/CD in Leicester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Kubernetes and ML CI/CD. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Bash scripting. Practice common coding challenges and be ready to discuss your experience with cloud-native ML deployment platforms like SageMaker and Azure ML.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Cloud-Native MLOps Engineer | Kubernetes & ML CI/CD in Leicester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Kubernetes and any cloud-native ML platforms you've worked with. We want to see how your skills align with our needs, so don’t hold back!
Be Specific About Your Projects: When detailing your past work, focus on specific projects where you used Python, Bash, or IaC tools like Terraform. We love seeing real examples of your contributions and the impact they had.
Tailor Your Application: Take a moment to customise your application for this role. Mention how your experience with CI/CD in ML projects makes you a great fit for us. It shows you’re genuinely interested!
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at VIRGULE INTERNATIONAL LIMITED
✨Know Your Tech Inside Out
Make sure you’re well-versed in Kubernetes and the cloud-native ML platforms mentioned in the job description. Brush up on your experience with SageMaker, Azure ML, and Vertex AI, and be ready to discuss specific projects where you’ve deployed ML models.
✨Showcase Your Scripting Skills
Since proficiency in Python and Bash is key, prepare to demonstrate your scripting abilities. Bring examples of automation scripts you've written and be ready to explain how they improved efficiency or solved problems in your previous roles.
✨Understand CI/CD for ML
Familiarise yourself with Continuous Integration and Continuous Deployment processes specifically for Machine Learning. Be prepared to discuss how you’ve implemented CI/CD pipelines in past projects and the tools you used to manage them.
✨Get Comfortable with IaC Tools
As Infrastructure as Code is crucial for this role, make sure you can talk about your experience with Terraform, CloudFormation, or ARM. Have a couple of examples ready where you’ve used these tools to manage infrastructure effectively.