Machine Learning Engineer

Civo

Fridays are yours! As part of the Civo team you'll enjoy a flexible four day work week.

Posted 1 month ago

About Civo:

Civo is revolutionising the cloud industry by providing developers and businesses with cutting-edge, developer-friendly cloud solutions. With a focus on simplicity, performance, and reliability, Civo enables its clients to unleash the full potential of their projects and scale with ease. As a company committed to excellence and innovation, Civo values diversity, collaboration, and continuous improvement.

About the Role:

Are you up to the challenge of building the next generation of Machine Learning products on the cloud with us? We have an international, fully remote team working on creating the best Kubernetes-first, innovative virtualization platform around, and we'd like you to join as a senior engineer and team lead. In this role, you will be bringing new products to life, working with cutting-edge technology, and making a daily difference supporting users by giving them a platform on which to build awesome new things.

You will get fully involved with the inner workings of Artificial Intelligence, Kubernetes, virtualization and cloud computing, with opportunities to contribute back to open-source projects and participate at industry conferences around the world. You won't just ship code: you'll join a supportive team that values your perspective and ideas from day one.

Responsibilities:

  • Manage the development and maintenance of scalable, efficient code for the Machine Learning components of the Civo Cloud Platform
  • Ensure code quality, performance, and reliability through comprehensive testing and optimization
  • Collaborate with designers, product managers, and other engineers to translate requirements into technical solutions
  • Improve team performance through implementing best practices, refactoring, optimizing and improving the documentation of code and the application of best practices
  • Participate in code reviews, providing constructive feedback and fostering a collaborative environment
  • Stay up-to-date with the latest Machine Learning trends, libraries, and tools
  • Troubleshoot and debug complex technical issues

Requirements:

  • Bachelor’s degree in Computer Science, Engineering or a related field, or proven related professional experience
  • 4+ years of professional experience developing, deploying and optimising Machine Learning Solutions
  • 2+ years of running large applications and systems in production environments
  • 2+ Experience with containerization technologies (Docker, Kubernetes)
  • Proven Experience training Machine Learning Models of any modality
  • Experience building and designing Machine Learning Pipelines or workflows (MLOps)
  • Experience managing complex Kubernetes Deployments
  • Experience scaling GPU Machine learning deployments and managing GPU Clusters
  • Strong written and verbal communication skills
  • Experience leading complex software development projects

Nice to Have:

  • Experience in a software development management or leadership roles
  • Experience using Machine Learning monitoring tools
  • Experience enforcing coding standards and practices
  • Experience working in asynchronous agile software teams
  • Experience working in fully remote organizations
  • Experience with open source Machine Learning projects

Why Join Civo:

  • Competitive compensation and benefits package
  • 4-day week company (unless attending an event)
  • Uncapped holiday
  • Collaborative and inclusive culture that values diversity and creativity
  • Opportunity to work with a dynamic and innovative team in the fast-growing cloud industry
Civocivo.com

Building the #1 cloud hosting platform for developers; moulded and shaped by our community.

Working Week

Fridays are yours! As part of the Civo team you'll enjoy a flexible four day work week.

  • Mon
  • Tue
  • Wed
  • Thu
  • 🏖️
    Fri

Our Vacation Policy

We offer 26 days annual leave + bank holidays

  • 32 days
  • 52 Fridays
  • 84 days off per year

Remote Working Policy

We work fully remotely and are a team of 34 and mostly based in Europe. Our team works from:

  • UK
    14
  • India
    10
  • Netherlands
    5
  • United States
    2
  • Brazil
    1
  • Ecuador
    1
  • France
    1

Company Benefits

  • Health insurance
  • 401(k) company contribution
  • Company retreats
  • Equipment allowance

Desirable Skills and Experience

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