4 of 4 Data Transformation Jobs in Bedfordshire

critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring … and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. Integrates machine learning … models into production by fostering collaboration between data scientists, engineers, and analysts to align technical solutions with business goals. Ensures model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration More ❯

critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring … and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. Integrates machine learning … models into production by fostering collaboration between data scientists, engineers, and analysts to align technical solutions with business goals. Ensures model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration More ❯

critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring … and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. Integrates machine learning … models into production by fostering collaboration between data scientists, engineers, and analysts to align technical solutions with business goals. Ensures model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration More ❯

critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring … and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. Integrates machine learning … models into production by fostering collaboration between data scientists, engineers, and analysts to align technical solutions with business goals. Ensures model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration More ❯