Key Responsibilities:

  1. Infrastructure Management:
  • Provision and maintain both internal and external cloud infrastructure, ensuring optimal uptime, performance, and security.
  1. Continuous Integration and Deployment (CI/CD):
  • Implement, maintain, and optimize CI/CD pipelines for software and ML models.
  1. Model Training and Deployment Automation:
  • Automate ML model training and deployment processes, ensuring adaptability to new data or configurations.
  1. Collaboration:
  • Work closely with software developers and data scientists, optimizing workflows and ensuring seamless deployments.
  1. Data Management:
  • Ensure efficient and reproducible data pipelines, managing data quality and validation.
  1. Documentation:
  • Maintain detailed documentation on MLOps and DevOps processes, model details, and best practices.
  1. Security:
  • Implement best practices to ensure data and application security.
  1. Disaster Recovery:
  • Design and implement strategies for data and application backups and recovery.
  1. Ad Hoc Development and Project Tasks.

What We’re Looking For:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • +3 years of proven experience in both DevOps and MLOps environments, with a track record of implementing CI/CD processes and ML workflows.
  • Technical Skills: Proficiency with cloud platforms and common DevOps/ML Ops tools.
  • Strong understanding of containerization, infrastructure automation, and machine learning development and deployment.

Pay & Benefits:

  • Base pay is part of the total compensation package, determined within a range.
  • Base pay range for this role: £70,000 to £85,000, based on skills, qualifications, experience, and location.

Work Arrangement:

  • Hybrid role, requiring at least ~60% on-site presence.

Join Us in Building the Future!

To Apply:
Send your CV and a brief cover letter to hr@caint.io. This is your chance to be part of an innovative team shaping the future. Apply today!

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