126 to 150 of 2,318 DevOps Jobs in the UK excluding London

build API first services using modern web and cloud practices. Systems are containerised, continuously tested, and deployed through automated pipelines. There is a strong DevOps culture with an emphasis on clean design, shared tooling, and reducing unnecessary complexity. Typical technologies include Python backend Modern JavaScript frameworks on the front ...

build API first services using modern web and cloud practices. Systems are containerised, continuously tested, and deployed through automated pipelines. There is a strong DevOps culture with an emphasis on clean design, shared tooling, and reducing unnecessary complexity. Typical technologies include Python backend Modern JavaScript frameworks on the front ...

build API first services using modern web and cloud practices. Systems are containerised, continuously tested, and deployed through automated pipelines. There is a strong DevOps culture with an emphasis on clean design, shared tooling, and reducing unnecessary complexity. Typical technologies include Python backend Modern JavaScript frameworks on the front ...

build API first services using modern web and cloud practices. Systems are containerised, continuously tested, and deployed through automated pipelines. There is a strong DevOps culture with an emphasis on clean design, shared tooling, and reducing unnecessary complexity. Typical technologies include Python backend Modern JavaScript frameworks on the front ...

build API first services using modern web and cloud practices. Systems are containerised, continuously tested, and deployed through automated pipelines. There is a strong DevOps culture with an emphasis on clean design, shared tooling, and reducing unnecessary complexity. Typical technologies include Python backend Modern JavaScript frameworks on the front ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...

them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components. Establish standards for AI code quality, ethics, and data governance. ...