51 to 75 of 184 AIOps Jobs in the UK

measurable business impact. Ensure all workstreams deliver against agreed objectives, timelines, and quality standards. Lead Cross-Functional Execution : Coordinate product, engineering, PMs, and AIOps teams to deliver as one integrated program. Set priorities, manage dependencies and risks, resolve escalations, and ensure clear ownership and accountability across teams. Define and Drive ...

Riverbed. Empower the Experience Riverbed, the leader in AIOps for observability, helps organizations optimize their users’ experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed’s open and AI-powered ...

Riverbed. Empower the Experience Riverbed, the leader in AIOps for observability, helps organizations optimize their users’ experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed’s open and AI-powered ...

mixed new/expansion roles, with typical deal sizes of $200K–$1M+ ARR. Experience in one or more adjacent technologies: Observability, IT Infrastructure Monitoring, AIOps, Application Monitoring, Digital Experience Monitoring, Log Analytics, SIEM, Cybersecurity, or related enterprise software. Comfortable managing long, complex sales cycles with multiple stakeholders, including procurement, legal ...

Gong, and a growing set of AI-driven workflows. You'll lead the RevOps team and work closely with the wider operational functions including AIOps, Marketing Digital Operations, and cross-functionally with wider commercial business stakeholders. This role: We're looking for a Head of Revenue Operations to take RevOps ...

your home; noting that you will be unable to work at home 100% of the time.Your roleDefine and evolve the enterprise Observability and AIOps strategy, architecture principles, target architecture and roadmap.Act as a trusted adviser to senior technology, operations and business stakeholders, turning complex challenges into clear architectural decisions.Lead … record of defining observability strategies and architectures for complex, enterprise-scale environments.Deep understanding of telemetry, service-centric monitoring, SLOs and SLIs, topology, event management, AIOps, operational analytics and experience monitoring.The ability to architect across multiple technologies, defining clear integration and coexistence patterns rather than designing the domain around a single ...

home; noting that you will be unable to work at home 100% of the time. Your role Define and evolve the enterprise Observability and AIOps strategy, architecture principles, target architecture and roadmap. Act as a trusted adviser to senior technology, operations and business stakeholders, turning complex challenges into clear architectural … defining observability strategies and architectures for complex, enterprise-scale environments. Deep understanding of telemetry, service-centric monitoring, SLOs and SLIs, topology, event management, AIOps, operational analytics and experience monitoring. The ability to architect across multiple technologies, defining clear integration and coexistence patterns rather than designing the domain around a single ...

Engineer who is responsible for the deployment, operation and continuous optimisation of AI, Machine Learning and Generative AI solutions across AWS and Azure. Combining AIOps, Platform Engineering and DevOps capabilities, the role ensures AI platforms are secure, scalable, resilient and production ready.Hybrid working:The places that you work from … observability, reliability engineering and operational supportLangChain, Semantic Kernel, CrewAI or AutoGen.Vector databases and AI orchestration frameworks.Databricks, Microsoft Fabric or enterprise data platforms.MLOps, ModelOps and AIOps practices.Experience in regulated or large-scale enterprise environments.Consulting experience delivering cloud, platform or AI transformation initiatives.Preferred CertificationsAzure AI Engineer AssociateAzure DevOps Engineer ExpertAWS AI PractitionerAWS ...

# AI Platform & Site Reliability Engineering Managing ConsultantManchester, Glasgow, LondonApply for this job* Permanent* Experienced Professionals* Strategy & Transformation* ID 545400-en\\_GB## **ABOUT CAPGEMINI**At Capgemini Invent, we believe difference drives change. As inventive transformation ...

# AI Platform & Site Reliability Engineering Managing ConsultantManchester, Glasgow, LondonApply for this job* Permanent* Experienced Professionals* Strategy & Transformation* ID 545400-en\\_GB## **ABOUT CAPGEMINI**At Capgemini Invent, we believe difference drives change. As inventive transformation ...

# AI Platform & Site Reliability Engineering Managing ConsultantManchester, Glasgow, LondonApply for this job* Permanent* Experienced Professionals* Strategy & Transformation* ID 545400-en\\_GB## **ABOUT CAPGEMINI**At Capgemini Invent, we believe difference drives change. As inventive transformation ...

ABOUT CAPGEMINI At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive ...

tooling assessments. You will combine strategy, technology and data insights to提升 resilience and performance. You will work across cloud environments, AI-enabled operations and AIOps, collaborating with multidisciplinary teams and contributing to proposals and delivery campaigns within a hybrid UK setup. #J-18808-Ljbffr ...

tooling assessments. You will combine strategy, technology and data insights to提升 resilience and performance. You will work across cloud environments, AI-enabled operations and AIOps, collaborating with multidisciplinary teams and contributing to proposals and delivery campaigns within a hybrid UK setup. #J-18808-Ljbffr ...

lead the Observability Platforms team in London and other sites. You will drive architecture, strategy and delivery for complex firm-wide projects, focusing on AIOps and scalable software solutions. The role requires leading multi-disciplinary teams, influencing stakeholders, and delivering high-impact technology initiatives in a large corporate environment. #J ...

tooling assessments. You will combine strategy, technology and data insights to提升 resilience and performance. You will work across cloud environments, AI-enabled operations and AIOps, collaborating with multidisciplinary teams and contributing to proposals and delivery campaigns within a hybrid UK setup. #J-18808-Ljbffr ...

across strategy, advisory, solution design, and delivery, shaping IT operations and value-driven service models in collaboration with senior stakeholders. You will explore AI, AIOps and intelligent automation to drive reliability, efficiency, and user experiences, contributing to new propositions and best practices in next-generation service management. #J-18808-Ljbffr ...

About ScienceLogic ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT - where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows ...

including industry leaders such as Kellogg’s, Avis Budget Group, WPP, and Keurig Dr Pepper. Innovation drives Xalient's approach, exemplified by MARTINA, an AIOps tool designed to provide visibility and predictive monitoring, now empowering enterprises worldwide. Xalient helps make the world’s largest brands more secure, resilient, adaptable ...

cloud environments that power our clients’ most demanding data and AI workloads. We operate in an AI-augmented delivery model where intelligent automation, AIOps and AI-assisted engineering are not future ambitions but current practice, and our Managers are expected to lead from the front in adopting and embedding these … environments from the outset - designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations - implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure capabilities that reduce manual operational toil Lead the design ...

cloud environments that power our clients’ most demanding data and AI workloads. We operate in an AI-augmented delivery model where intelligent automation, AIOps and AI-assisted engineering are not future ambitions but current practice, and our Managers are expected to lead from the front in adopting and embedding these … environments from the outset — designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure capabilities that reduce manual operational toil Lead the design ...

cloud environments that power our clients' most demanding data and AI workloads. We operate in an AI-augmented delivery model where intelligent automation, AIOps and AI-assisted engineering are not future ambitions but current practice, and our Managers are expected to lead from the front in adopting and embedding these … environments from the outset — designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure capabilities that reduce manual operational toil Lead the design ...

cloud environments that power our clients' most demanding data and AI workloads. We operate in an AI-augmented delivery model where intelligent automation, AIOps and AI-assisted engineering are not future ambitions but current practice, and our Managers are expected to lead from the front in adopting and embedding these … environments from the outset — designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure capabilities that reduce manual operational toil Lead the design ...

design and build working solutions rather than conceptual designs alone. Support early industrialisation of AI solutions, contributing to the adoption of MLOps, LLMOps and AIOps practices such as evaluation, observability, versioning and responsible deployment. Ensure AI solutions meet relevant standards and regulations for security, privacy and responsible AI, particularly … experience preferred, and an understanding of PaaS, SaaS, real-time and batch processing patterns. Familiarity with Docker, CI/CD, infrastructure approaches, MLOps, LLMOps, AIOps, observability, versioning and production operations would be advantageous. Strong understanding of responsible AI, security, privacy, governance, data lifecycle and data quality considerations, including risks such ...

End Date Sunday 29 November 2026 Salary Range £48,500 Job Description Summary Prior to submitting your application, please visit our early careers website to find out more about the schemes we offer and the ...