MLOps Engineer

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.