3 of 3 Remote/Hybrid Identity Management Jobs in Manchester

Cloud Build) Proficiency in scripting/programming (e.g., Python, Bash, Go) Experience with containerisation & orchestration (Docker, Kubernetes) Solid understanding of cloud networking, security, and identity management Experience with monitoring & observability tools (Prometheus, Grafana, ELK, or similar) Strong Git/version control experience Exposure to the following skills … essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML ...

integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost … complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience ...

Leadthearchitectureandimplementationofproduction-gradeAIapplicationsusingLLMs,RAGpipelines,AIAgents,andAzureAIservices. ProvidetechnicalleadershipacrossAIinitiatives,ensuringsolutionsfollowbestpracticesforscalability,security,performance,andgovernance. OwnthefullAIdevelopmentlifecycle,fromdiscoveryandproof-of-conceptthroughtoproductiondeploymentandbusinessadoption. DevelopandoptimiseAImodels,promptengineeringframeworks,vectordatabases,andretrievalsystems. DesignandimplementAIagentarchitectures,workflowautomation,andAPIintegrations. CollaboratewithInfrastructureandEngineeringteamstodeployAIsolutionssecurelywithinenterpriseenvironments. EnsuresolutionsleveragePrivateEndpoints,securenetworking,identitymanagement,andenterprise-gradegovernancecontrols. Establishmonitoring,evaluation,andobservabilityframeworksforAIsystems,includinghallucinationdetection,modeldriftmonitoring,performancetracking,andcostoptimisation. Partnerwithoperationalandcommercialstakeholderstoidentifyhigh-valueAIopportunitiesanddefinebusinesscases. MeasureandreportonAIprojectoutcomes,includingefficiencygains,automationbenefits,costsavings,andcustomerexperienceimprovements. Mentorandsupportothertechnicalteammembers,promotingAIbestpracticesandknowledgesharingacrosstheorganisation. ContributetothedevelopmentoftheorganisationsAIstrategy,roadmap,andfuturecapability. RequiredExperience Essential SignificantcommercialexperienceinAIEngineering,MachineLearningEngineering ...