A fast-growing stealth start-up is seeking two experienced and enthusiastic MLOps Engineers to join their dynamic team. This is a fantastic opportunity to make a real impact and be part of a cutting-edge environment driving innovation in machine learning operations.

In this role, you will:

• Collaborate with data scientists and engineers to optimise and automate ML model training, validation, and deployment processes.
• Design, build, and manage robust CI/CD pipelines for ML models, ensuring smooth deployment to cloud and edge systems.
• Oversee large-scale data processing and storage, working with Datalake and Datawarehouse solutions.
• Implement and manage ETL pipelines, ensuring efficient data flow and processing.
• Support cloud architecture and infrastructure, primarily using AWS, to ensure scalability and reliability.

Key Requirements:

• 4+ years of experience in MLOps, DevOps, or a related role.
• Strong expertise in CI/CD deployment, ETL pipelines, and cloud technologies.
• Hands-on experience with Datalake and Datawarehouse management.
• Strong experience with AWS
• Proven ability to work closely with cross-functional teams to deliver end-to-end ML solutions.
• Excellent documentation and data presentation skills.

Desirable Skills:

• Experience with Kubernetes or Docker for containerisation and model orchestration.

This is an office-based role in Manchester, and candidates must be within commuting distance. Visa sponsorship is not available for this position.