1 to 25 of 48 AIOps Jobs in London

Sqitch, SchemaHero, Redgate SQL Change Automation, DBmaestro. Site reliability & incident response (incl. AI‐assisted): incident management and postmortems (PagerDuty, Opsgenie, incident.io, Rootly, FireHydrant, Blameless); AIOps/AI SRE (Resolve.ai, Cleric, Traversal, Neubird, Datadog Bits AI, BigPanda, Moogsoft). Observability: Datadog, Prometheus/Grafana, New Relic, Splunk, Dynatrace, Honeycomb, OpenTelemetry. Containers ...

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 ...

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 ...

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 ...

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 ...

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 ...

human-driven processes. Contribute to AI-driven operational use cases, including event correlation, anomaly detection, noise reduction, operational insights, and automated remediation. Ensure AIOps capabilities are grounded in reliable telemetry, clear control boundaries, and measurable operational outcomes. Observability & 24/7 Operational Excellence Define standards for telemetry, monitoring, alerting ...

networking including network protocols, DNS, VPN, Load Balancing and Firewall • Kubernetes clusters and containerised environments • Experience with Prometheus, Grafana, Dynatrace, AppDynamics, Splunk, or AIOps on Azure Cloud or any similar observability tooling • Experience in SRE and/or DevOps roles, with working knowledge in SRE principles including automation a considerable ...

Event Grid, SQL, alongside Snowflake connectivity configurations. Familiarity with Cloud Governance frameworks, Cost Optimization strategies, Azure Advisor, and enterprise Tagging Standards. Prior exposure to AIOps (AI-driven Operations), anomaly detection mechanisms, and proactive monitoring strategies. Professional & Soft Skills Exceptional troubleshooting capabilities and structured problem-solving skills. Polished stakeholder communication skills ...

govern enterprise knowledge ingestion. Architecture & Integration Distributed systems, microservices, cloud‐native (Azure/AWS/GCP); secure API design (REST/GraphQL). MLOps & AIOps: CI/CD for AI, model lifecycle (eval, versioning, rollout/rollback), guardrails, telemetry, drift monitoring, prompt safety. DevSec & Responsible AI: Privacy‐by‐design ...

Responsibilities and Impact Own and execute the AIOps product roadmap, aligning priorities with enterprise reliability goals, operational maturity, adoption targets, and measurable business outcomes. Translate operational needs into clear product requirements, use cases, user stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle. Ownership of high-impact … AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self‐healing remediation. Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities and drive adoption at enterprise scale. Define and track success metrics for alert ...

helping shape technology and investment decisions. Mentoring architects and engineers, helping to develop capability across the wider team. Driving best practice across MLOps, AIOps, CI/CD and modern cloud engineering approaches. What we're looking for Extensive experience designing and delivering modern data platforms, analytics solutions and AI architectures. ...

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 ...

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 ...

programming skills in Python. Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models. Hands-on experience with MLOps and AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT ...

patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/… infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos ...

with the ability to learn new tools, services, and methodologies as the market evolves. Ability to identify opportunities to use automation, AI‐assisted engineering, AIOps, and cloud-native tooling to improve reliability, observability, delivery speed, and operational efficiency. Excellent English verbal and written communication skills, with the ability to engage … integration patterns. Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI‐assisted cloud operations. Experience with cloud security, compliance, and governance frameworks, including considerations specific to AI‐enabled ...

testing, deployment, monitoring and handover. This is a senior, hands-on delivery role for someone who can work independently across architecture, integration, DevOps, MLOps, AIOps, data engineering and governance. You will make technical decisions, solve complex integration challenges and ensure AI solutions are reliable, scalable and safe … Landing Zone sandbox to test technical options, demonstrate value and provide clear go/no-go recommendations before full delivery. DevOps, MLOps and AIOps ownership: Implement and maintain CI/CD, monitor and release pipelines using Azure DevOps, including version control, rollback capability, automated testing and production health monitoring. Documentation ...

About the company the company is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission‐critical, yet still run on ...

hackajob is collaborating with Barclays to connect them with exceptional professionals for this role. Join us as an AI Ops Engineer, to build and run an enterprise AI Factory within our Card Merchant Services organisation ...

Architect to design and lead enterprise-scale Technology Service Operations Management (TSOM) solutions. The role involves architecting scalable IT Operations frameworks, implementing observability and AIOps capabilities, and driving operational excellence across hybrid and multi-cloud environments. The ideal candidate will possess strong expertise in ServiceNow ITOM/TSOM modules, enterprise … large-scale TSOM deployments across hybrid, cloud, and on-premise environments Architect solutions using: ITOM Discovery Service Mapping Event Management Operational Intelligence Cloud Observability AIOps Define integration frameworks with monitoring and observability platforms Ensure CMDB governance, data accuracy, and service mapping optimization Implement AIOps-driven event correlation, anomaly detection ...

We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From ...

multi-cloud environments. The role requires hands-on architectural delivery, strong ITOM/TSOM expertise, CMDB governance, and proven ability to drive observability, AIOps, and seamless integrations with Splunk, Dynatrace, AppDynamics, Azure Monitor and AWS CloudWatch. #J-18808-Ljbffr ...

product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of AIOps innovation and solution delivery. Job responsibilities Leads technology and process implementations to achieve functional technology objectives in the Observability Platforms space, providing essential services … Reliability Engineers, Operations and Engineers across the whole firm Delivers technical solutions that can be leveraged across multiple businesses and domains, this will include AIOps strategy for the future. Work with vendor evaluations to decide roadmap for future strategic products, design and drive implementation Makes decisions that influence teams’ resources ...

product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of AIOps innovation and solution delivery. Job responsibilities Leads technology and process implementations to achieve functional technology objectives in the Observability Platforms space, providing essential services … Reliability Engineers, Operations and Engineers across the whole firm Delivers technical solutions that can be leveraged across multiple businesses and domains, this will include AIOps strategy for the future. Work with vendor evaluations to decide roadmap for future strategic products, design and drive implementation Makes decisions that influence teams' resources ...