1 to 25 of 136 Permanent AIOps Jobs in London

model transformations for global financial services clients Published thought leadership in SRE, platform engineering, or IT transformation Experience with AI/ML‐driven operations (AIOps) and emerging automation technologies ITIL 4 Managing Professional or Strategic Leader certification Benefits We help take care of your today and tomorrow with industry‐leading ...

particularly where operational teams are required to provide evidence for access, change, incident, backup, resilience and monitoring controls. Practical experience applying AI, Agentic AI, AIOps or intelligent automation to operational use cases such as incident triage, anomaly detection, runbook automation, knowledge search, root cause support or service desk workflows. Knowledge ...

cloud operating model transformations, using operational metrics, serviced data and insights to recommend improvements. Support the introduction of intelligent monitoring, service analytics and AIOps-aligned practices where appropriate.· Deliver Business Outcomes: Use skills in strategy development, service management, agile delivery, DevOps, business process mapping and organisational design to deliver digitally ...

building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi-step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection ...

Google GKE Preferred: GitOps tooling such as Argo CD or Flux Preferred: ISO 27001, SOC 2 or similar assurance frameworks Preferred: AI, Agentic AI, AIOps or intelligent automation experience Preferred: Observability and reliability practices, including SRE principles, service-level objectives, alert tuning, capacity planning and production readiness reviews Preferred: SaaS ...

Increase the percentage of incidents identified before user impact. Error Budget Utilization (%) – Ensure system reliability is balanced with innovation velocity. Automation & AI-Driven Observability (AIOps) % of Issues Resolved via Automated Remediation – Reduce manual intervention in incident response. Reduction in On-Call Burden (%) – Minimize alerts requiring human intervention. Anomaly Detection Accuracy ...

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 ...

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 #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

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 ...

data integration, secure access and responsible AI controls. Evaluate emerging Microsoft capabilities, including Copilot and AI services, and define group‐wide adoption patterns. Promote AIOps to improve incident detection, automated remediation and operational insight. Stay current with technology trends, Microsoft roadmaps and emerging capabilities to inform future architecture decisions. Role ...

Director of Software Engineering (AIOps) - Executive Director LONDON, LONDON, United Kingdom and 1 more Job Information Job Identification 210707625 Job Category Software Engineering Business Unit Corporate Sector Posting Date 08/05/2026, 05:42 PM Locations 4 John Carpenter St, London, Greater London, EC4Y 0JP, GB 315 Argyle … Engineers across the whole firm Innovates, designs and delivers technical solutions that can be leveraged across multiple businesses and domains, this will include AIOps strategy for the future Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements ...

Operations and Engineers across the whole firmInnovates, designs and delivers technical solutions that can be leveraged across multiple businesses and domains, this will include AIOps strategy for the futureSets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements … infrastructure or other cloud design and implementationPreferred qualifications, capabilities, and skillsUsage of large scale Observability Platforms (example products IBM Netcool, (Watson CloudPak AiOps), Tivoli, SCOM, SMARTS, Dynatrace, Splunk, Elastic, Prometheus, Grafana or Messaging systems for telemetry transport like Kafka, OTEL) Formal training or certification on software engineering concepts and expert ...