handing over new devices, strictly following the migration schedule and project processes. Ensure accurate handover and collection of devices per the migration schedule. Update workflow management systems correctly at all relevant steps. Promptly report any issues during the migration process to the Contractor Engineer and Site Manager. Escalate unresolved issues More ❯
Luton, Bedfordshire, United Kingdom Hybrid / WFH Options
TrustFlight
ensuring the safety of hundreds of thousands of passengers and crew every month. Why Choose TrustFlight? Our Mission : To revolutionize aviation by delivering digital workflow solutions that enhance safety, streamline operations, and inspire confidence across the industry. Impact : Over 200,000 users rely on our systems daily, making aviation safer More ❯
the data amendments in Open Housing will match the required data for the migration. Support the technical team in testing following migration. Knowledge of Workflow 360 and Capita Open Housing is preferred but not essential. About Us Luton Borough Council have partnered with Kent County Council to create Connect2Luton, a More ❯
Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring workflow robustness, scalability, and reliability. Designs and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine … 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 tools. Implements best practices for production model monitoring, logging, and alerting to ensure the reliability of deployed machine learning systems. They also use statistical … in validating data outputs, defining reporting requirements, and establishing feedback loops to enhance usability and dashboard accuracy. Familiarity with cloud platforms, containerisation technologies, and workflow orchestration tools such as Kubernetes and Docker for deploying scalable machine learning systems. What you’ll get in return Competitive base salary Up to More ❯
Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring workflow robustness, scalability, and reliability. Designs and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine … 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 tools. Implements best practices for production model monitoring, logging, and alerting to ensure the reliability of deployed machine learning systems. They also use statistical … in validating data outputs, defining reporting requirements, and establishing feedback loops to enhance usability and dashboard accuracy. Familiarity with cloud platforms, containerisation technologies, and workflow orchestration tools such as Kubernetes and Docker for deploying scalable machine learning systems. What you’ll get in return Competitive base salary Up to More ❯
Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring workflow robustness, scalability, and reliability. Designs and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine … 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 tools. Implements best practices for production model monitoring, logging, and alerting to ensure the reliability of deployed machine learning systems. They also use statistical … in validating data outputs, defining reporting requirements, and establishing feedback loops to enhance usability and dashboard accuracy. Familiarity with cloud platforms, containerisation technologies, and workflow orchestration tools such as Kubernetes and Docker for deploying scalable machine learning systems. What you’ll get in return Competitive base salary Up to More ❯
Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring workflow robustness, scalability, and reliability. Designs and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine … 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 tools. Implements best practices for production model monitoring, logging, and alerting to ensure the reliability of deployed machine learning systems. They also use statistical … in validating data outputs, defining reporting requirements, and establishing feedback loops to enhance usability and dashboard accuracy. Familiarity with cloud platforms, containerisation technologies, and workflow orchestration tools such as Kubernetes and Docker for deploying scalable machine learning systems. What you’ll get in return Competitive base salary Up to More ❯
