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For Companies At a Glance
- Tasks: Develop and maintain machine learning operations while managing containerized applications.
- Company: Join Builder.ai, a dynamic company focused on innovative tech solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and learning.
- Why this job: Be part of cutting-edge projects that shape the future of technology.
- Qualifications: A degree in Computer Science or Software Engineering is required.
- Other info: Work with top cloud platforms like AWS and Azure.
The predicted salary is between 43200 - 72000 £ per year.
Platform Engineer (Machine Learning Operations)
Builder.ai – What would you Build?
London, United Kingdom
Posted 9 days ago
This is a job posted by our partner Jooble
Responsibilities
- Develop and maintain machine learning operations.
- Implement CI/CD workflows using Git/Gitlab.
- Utilize Terraform for infrastructure as code.
- Manage containerized applications with Docker and Kubernetes.
- Work with cloud platforms like AWS and Azure.
Requirements
Computer Science or Software Engineering degree / BSc or higher
Skills
Python, SQL, Cypher
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Platform Engineer (Machine Learning Operations) in London - Builder.ai - What would you Build- employer: Builder.ai - What would you Build?
Contact Detail:
Builder.ai - What would you Build? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer (Machine Learning Operations) in London - Builder.ai - What would you Build-
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Git, Terraform, Docker, and Kubernetes. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Engage with the machine learning community by participating in forums, attending meetups, or contributing to open-source projects. This not only enhances your knowledge but also helps you network with professionals in the field.
✨Tip Number 3
Showcase your understanding of CI/CD workflows by discussing any relevant projects where you've implemented these practices. Being able to articulate your experience will demonstrate your capability to manage machine learning operations effectively.
✨Tip Number 4
Research Builder.ai and their projects to understand their culture and values. Tailoring your approach to align with their mission can make a strong impression during interviews.
We think you need these skills to ace Platform Engineer (Machine Learning Operations) in London - Builder.ai - What would you Build-
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Platform Engineer in Machine Learning Operations. Familiarize yourself with CI/CD workflows, Terraform, Docker, Kubernetes, and cloud platforms like AWS and Azure.
Tailor Your CV: Highlight your relevant experience and skills in Python, SQL, and Cypher. Make sure to include any projects or roles where you've developed or maintained machine learning operations.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how your background aligns with Builder.ai's mission. Mention specific experiences that demonstrate your ability to implement CI/CD workflows and manage containerized applications.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Builder.ai - What would you Build?
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and Cypher in detail. Bring examples of projects where you've implemented these technologies, especially in the context of machine learning operations.
✨Demonstrate CI/CD Knowledge
Since the role involves implementing CI/CD workflows using Git/Gitlab, be ready to explain your understanding of these processes. Share any relevant experiences where you successfully set up or improved CI/CD pipelines.
✨Discuss Infrastructure as Code
Familiarize yourself with Terraform and be ready to discuss how you've used it for infrastructure management. Highlight any specific challenges you faced and how you overcame them.
✨Cloud Platform Experience
Make sure to talk about your experience with cloud platforms like AWS and Azure. Prepare to discuss specific services you've used and how they relate to machine learning operations.
