2 of 2 Observability Jobs in Newcastle upon Tyne

DevOps Engineer

Hiring Organisation
Experis UK
Location
Newcastle upon Tyne, UK
/CD pipelines Develop infrastructure using Infrastructure as Code (Terraform, Ansible, Packer) Manage containerised applications using Docker and Kubernetes Implement monitoring, logging, and observability solutions (ELK, Grafana) Support cloud environments across AWS, Azure, or GCP Ensure secure, reliable deployments with strong DevSecOps practices Work across Windows & Linux environments, including virtualisation ...

DevOps Engineer

Hiring Organisation
Experis UK
Location
Newcastle Upon Tyne, England, United Kingdom
/CD pipelines Develop infrastructure using Infrastructure as Code (Terraform, Ansible, Packer) Manage containerised applications using Docker and Kubernetes Implement monitoring, logging, and observability solutions (ELK, Grafana) Support cloud environments across AWS, Azure, or GCP Ensure secure, reliable deployments with strong DevSecOps practices Work across Windows & Linux environments, including virtualisation ...

Dev Ops Engineer

Hiring Organisation
Peregrine
Location
Newcastle upon Tyne, Tyne & Wear, United Kingdom
Employment Type
Permanent
Salary
£1/annum
testing for all components Ensure solutions are reliable, reproducible and stable across releases Support continuous improvement of testing practices Monitoring and Incident Response Implement observability and monitoring tooling Track system performance and detect anomalies Support incident response, troubleshooting and root cause analysis in live environments Collaboration and Delivery Work closely ...

Senior AI (Artificial Intelligence)/ML (Machine Learning) Engineer

Hiring Organisation
NHS Business Services Authority
Location
Newcastle Upon Tyne, NE15 8NY, United Kingdom
Salary
£57528.00 to £64750.00
ecosystem including experiment tracking, data pipelines, data access, model deployment pipelines, CI/CD for ML, and ensure deployed models are continuously monitored using observability tools to detect performance degradation, data drift, and operational issues. You'll rapidly experiment with emerging AI tools and models (including generative … ecosystem including experiment tracking, data pipelines, data access, model deployment pipelines, CI/CD for ML, and ensure deployed models are continuously monitored using observability tools to detect performance degradation, data drift, and operational issues.6. Conducting technical design reviews and implement robust testing and validation of both code ...