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Job description

We are seeking an experienced Cloud Engineer who is passionate about building next-generation AI-powered systems to solve real-world problems.

As a Cloud Engineer, you will be responsible for designing and deploying AI solutions end-to-end on cloud platforms like AWS and Google. You will also be responsible for building and debugging CI/CD pipelines and ensuring near-real-time inferencing of ML models using elastic and computing instances with GPU support.

This is a hybrid position, and we are looking for candidates from the UK and Europe, with visa sponsorship available for the right candidate. The successful candidate will have the ability to work independently and within a team.

Required Skills:

• Cloud experience and deployment of AI solutions from end-to-end (mainly AWS and Google) including IaC
• Build and debug CI/CD pipelines including continuous and active learning
• GitHub and version control
• Docker to contain ML models
• Storage orchestration including S3, datalakes, databases, etc.
• Near real-time inferencing for ML models using elastic and computing instances using GPU support
• Security compliance and authentication for cloud deployed AI solutions
• Trigger function of cloud deployment environment such as lambda function for AWS

Desired Skills:

• Frontend/backend and JavaScript (Node.js, Next.js, React.js)
• Machine learning understanding

Benefits:

• Hybrid working
• Generous vacation policy
• Remote-friendly work environment
• Bonus scheme
• Share Scheme
• Pension contribution

Job Type: Full-time

Salary: £45,000.00-£60,000.00 per year

Benefits:

• Company pension
• Flexitime
• Work from home

Schedule:

• Flexitime
• Monday to Friday

Supplemental pay types:

• Bonus scheme
• Yearly bonus

Ability to commute/relocate:

• Manchester, Greater Manchester: reliably commute or plan to relocate before starting work (required)

Experience:

• Cloud Engineer: 2 years (preferred)

Work Location: In person