6 of 6 Permanent Canary Deployment Jobs in the UK

. Build, Integrate & Automate: Guide engineering on LLMOps/MLOps (model lifecycle, feature stores, CI/CD for ML, telemetry, A/B & canary releases) and integrate with DevOps toolchains; automate infra as code and pipelines for AI services. Orchestrate data and model services via microservices , event-driven ...

using Terraform CI/CD experience with Harness Strong GitHub workflow experience (PRs, branching, automation) Experience with Istio Service Mesh (traffic routing, mTLS, canary/blue-green deployments) Deep understanding of containers and cloud-native architectures £500 per day - 6 Month Contract Office Locations: Bristol, Leeds, Halifax, Manchester ...

local systems (Windows/Linux), covering patching, networking, storage, virtualisation, and container platforms. Build and optimise CI/CD pipelines with blue-green, canary, and rolling deployments, including automated, zero-downtime database releases. Implement comprehensive monitoring, logging, alerting, and automated incident workflows with clear reporting. Strengthen cloud security … Infrastructure as Code (CloudFormation required; Terraform/Pulumi desirable). Docker and ECS and/or Kubernetes. CI/CD pipeline development and controlled deployment strategies. Strong Linux administration and networking fundamentals. Python (essential) and Bash/Shell scripting. Monitoring/logging tools (e.g. Grafana, Datadog, CloudWatch, Prometheus). ...

with attention to reliability patterns (dead-letter queues, safe reprocessing, backpressure). AI/ML Operations Support • Partner with the ML engineer on production deployment of AI/ML models and agentic workflows: containerisation, versioning, controlled rollouts, and regression testing. • Implement operational controls for LLM usage in production: rate … language (Python strongly preferred, given the ML stack; Go, C#, or TypeScript also valuable). • Experience with containers (Docker, Kubernetes or equivalent) and modern deployment patterns (blue-green, canary, feature flags). • Production experience with monitoring, logging, and alerting systems, and a track record of responding ...

infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer … always improving. Key Responsibilities ML Pipeline Orchestration & Automation Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows. Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments. Implement pipeline monitoring, alerting, and failure recovery ...

quality is consistent and repeatable. Evidence-led performance using DORA and reliability metrics Use DORA metrics as core evidence of delivery health and improvement: deployment frequency, lead time for changes, change failure rate and time to restore service. Combine DORA with operational measures: SLA/SLO attainment, incident volume … management tooling (e.g., ServiceNow or Jira Service Management). Working knowledge of modern engineering practices (CI/CD, IaC, blue/green or canary deploys, observability). ...