4 of 4 Contract Observability Jobs in the South East

Full Stack Engineer

Hiring Organisation
Response Informatics
Location
South East London, London, United Kingdom
Employment Type
Contract
platforms using modern infrastructure and platform engineering practices. DevSecOps, MLOps & Automation Advanced knowledge of CI/CD, GitOps, MLOps, Infrastructure as Code (Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative ...

DevOps Engineer

Hiring Organisation
Sanderson Recruitment
Location
Romsey, Hampshire, South East, United Kingdom
Employment Type
Contract
Contract Rate
Up to £550 per day + Outside IR-35
/CD pipeline development and optimisation Kubernetes platform administration and automation Infrastructure as Code using Terraform and Packer GitOps implementation with ArgoCD Monitoring, observability and performance optimisation using Grafana, Prometheus and OpenTelemetry Continuous improvement of engineering standards, automation and release processes Requirements Active SC or DV Clearance UK-based Able ...

Azure DevOps Engineer

Hiring Organisation
Anson Mccade
Location
South East London, London, United Kingdom
Employment Type
Contract, Work From Home
Contract Rate
From £500 to £700 per day Inside IR35
processes Acting as the primary SME for platform-related activities Leading troubleshooting, root cause analysis and platform optimisation initiatives Implementing monitoring, logging, alerting and observability solutions Supporting incident management and disaster recovery activities Driving continuous improvement across the DevOps ecosystem About You You'll be a highly capable DevOps ...

Senior AI Engineer

Hiring Organisation
MarkIT Placements
Location
Didcot, Oxfordshire, South East, United Kingdom
Employment Type
Contract, Work From Home
Contract Rate
From £700 to £900 per day
predictable failure behaviour. Deploy AI systems across cloud and on-premises environments, with an understanding of the constraints associated with each. Build evaluation and observability capabilities to measure model performance, agent behaviour and system reliability. Take end-to-end ownership of technical workstreams, from architecture and implementation through to deployment. … would be advantageous: Multimodal AI and reasoning. Edge or offline AI deployments. Kubernetes, particularly EKS or OpenShift. MLOps, including model evaluation, monitoring and reproducibility. Observability for agentic AI systems, including model performance, agent behaviour and drift. Agent orchestration and inter-agent communication protocols such as A2A. Model Context Protocol ...