26 to 50 of 231 AIOps Jobs in the UK

transformation. The Opportunity You will help clients assess, redesign and optimise cloud operating models, ensuring they are scalable, resilient and ready for Generative AI, AIOps and intelligent automation. Key Responsibilities Advise clients on cloud transformation and cloud operating models. Assess existing service management and operational environments. Design future-state operating ...

culture Nice to have Experience in financial services or other highly regulated, mission‐critical environments Certifications in cloud technologies, such as AWS Exposure to AIOps platforms or advanced observability tooling We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private ...

advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy ...

advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy ...

advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy ...

will architect,design,and deliver advanced AI solutionsleveragingstate-of-the-artmachine learning,generativeand agenticAI technologies. You will drive the adoption of modern AI frameworks,AIOps best practicesand scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions ...

budgets, service health, reliability and observability. Experience in DevOps, CI/CD, cloud, SaaS, PaaS, platform engineering or distributed application environments. Experience applying automation, AIOps, service intelligence or AI-enabled workflows to improve service management outcomes. In Return: Joining Arm means being part of a world-class team that ...

Ansible, Python scripting, AWS CloudFormation, Azure Resource Manager (ARM), and CI/CD pipelines to support automated deployment and management of network infrastructure.Experience with AIOps platforms, network analytics, machine learning for anomaly detection, or advanced security analytics in a networking context.Experience integrating network solutions with IT Service Management (ITSM) platforms ...

About the Role:Grade Level (for internal use):11The Team:The AIOps team is responsible for S&P Global's enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights.DTS Platform & Tools – Service Enablement … serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams to solve enterprise operational challenges. Our mission is to improve reliability, reduce operational complexity, optimize technology investments, and enable more proactive and resilient technology operations by applying AI.Responsibilities and Impact ...

About the Role: Grade Level (for internal use): 11 The Team: The AIOps team is responsible for S&P Global's enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools … Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams to solve enterprise operational challenges. Our mission is to improve reliability, reduce operational complexity, optimize technology investments, and enable more proactive and resilient technology operations by applying AI. Responsibilities ...

MTTR). Establish and enforce SRE best practices, including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets. Define and implement an AIOps roadmap to enhance operational intelligence and automation. Automate repetitive operational tasks (toil reduction) using scripting, orchestration tools, and automation frameworks. Implement self‐healing systems ...

platform teams.Establish and run enterprise‐grade AI observability frameworks to monitor performance, safety, and interpretability.Continuously enhance LLM Ops, Evaluation and Quality pipelines.Ensure robust AIOps/DevSecOps, CI/CD, Infrastructure‐as‐Code, and automated delivery pipelines.What You'll BringLeadership & DeliveryOver 15 years of experience in engineering leadership, platform or product ...

SLIs, error budgets, service health, reliability and observability.Experience in DevOps, CI/CD, cloud, SaaS, PaaS, platform engineering or distributed application environments.Experience applying automation, AIOps, service intelligence or AI-enabled workflows to improve service management outcomes.In Return:Joining Arm means being part of a world-class team that is high ...

deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements ...

aligning architects from multiple domains (Cloud, Cyber, LOB) both internally and within customer organizations. Understanding operations-friendly implementations leveraging zero-touch ITOps/AIOps constructs and SRE. Should have played the role of a Chief Architect or Digital Architecture Lead in the past and should have personally led a team ...

innovation and market-leading practices across multiple clients and industries- Strong understanding of cloud-centric solution design, the full data lifecycle, and MLOps/AIOps- Experience mentoring engineers and architects, building capability in junior team members and client counterparts- You will be required to hold active SC clearance for this ...

innovation and market-leading practices across multiple clients and industries- Strong understanding of cloud-centric solution design, the full data lifecycle, and MLOps/AIOps- Experience mentoring engineers and architects, building capability in junior team members and client counterparts- You will be required to hold active SC clearance for this ...

responsible AI and security controls into the AI platform by design, including identity, data protection, content safety and auditability.• Define and implement AI operations (AIOps) practices for AI Platforms: Monitoring and observability, forensics on security anomalies, token/quota capacity planning, and workload optimization.• Serve as a senior technical escalation ...

Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device ...

aligned to operational and business priorities. Build and optimize monitoring, observability, and alerting capabilities using tools such as Prometheus, Grafana, AppDynamics, and Splunk. Apply AIOps capabilities to improve event correlation, anomaly detection, root cause analysis, predictive insights, and proactive issue prevention. Partner with engineering, infrastructure, production support, security, and risk … across technical and non-technical stakeholders. Preferred Qualifications Experience building centralized internal platforms or shared engineering services for operational or enterprise users. Experience applying AIOps, machine learning, or intelligent automation within production support or reliability engineering environments. Exposure to CI/CD pipelines, infrastructure as code, API-driven automation ...

health measures aligned to operational and business priorities.Build and optimize monitoring, observability, and alerting capabilities using tools such as Prometheus, Grafana, AppDynamics, and Splunk.Apply AIOps capabilities to improve event correlation, anomaly detection, root cause analysis, predictive insights, and proactive issue prevention.Partner with engineering, infrastructure, production support, security, and risk teams … collaborate effectively across technical and non-technical stakeholders.Preferred QualificationsExperience building centralized internal platforms or shared engineering services for operational or enterprise users.Experience applying AIOps, machine learning, or intelligent automation within production support or reliability engineering environments.Exposure to CI/CD pipelines, infrastructure as code, API-driven automation, and modern software ...

teams are equipped and engaged throughout the change journey. AI-Driven Operations: Champion the adoption of AI-driven operational tooling across EMEA infrastructure, including AIOps platforms for predictive monitoring, automated incident response, and intelligent capacity management. Evaluate and drive use cases where AI enhances operational efficiency, reduces manual toil ...

This role also anchors Omnicell's forward investment in AI‐driven operations. Over the course of the first year, the organization intends to incorporate AIOps and ML‐assisted observability — anomaly detection, intelligent alert correlation, LLM‐assisted runbook generation — into how we monitor and respond to our platform. You will … failover exercises (Chaos Monkey, LitmusChaos, or equivalent). Validate that what we think is resilient actually is. AI‐driven operations Architect Omnicell's AIOps direction: evaluate and introduce ML‐based anomaly detection, predictive alerting, automated root cause analysis, and LLM‐assisted runbook or triage pipelines. Make informed build‐versus ...

Professional AWS Advanced Networking Certification Experience delivering security transformation initiatives on AWS. Experience working in regulated, enterprise-scale environments. Familiarity with AI-driven operations (AIOps), security analytics, and autonomous remediation frameworks ...

distributed systems or complex cloud-native platform delivery. Programming languages: Go, Rust, C/C++, Java, Python. Desirables: AWS Solutions Architect Associate certification, Telecoms, AIOps, Network Ops, RAN/Core Analytics, Data Engineering, anomaly detection, RCA, lakehouse/agent orchestration patterns. ...