1 to 25 of 73 AIOps Jobs in the UK

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 ...

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 ...

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 technical leadership, engaging with senior stakeholders to agree architectural principles, strategic direction and system ...

Expert or Azure Solutions Architect certifications. - Datadog certifications. - Experience working within Agile or SAFe environments. - Knowledge of ITIL or change management frameworks. - Exposure to AIOps tools and modern cloud operations practices. What's on Offer - Opportunity to shape a global DevOps strategy from the ground up. - Work with modern Azure ...

reliability. Experience with observability and monitoring tools such as Dynatrace or similar. Experience supporting production platforms including incident and problem management. Exposure to AIOps practices and automation for proactive issue detection and resolution. Ability to work in client-facing environments and travel as required. Experience mentoring or supporting junior engineers. ...

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 ...

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 delivery, collaborating with customers to translate business challenges into trustworthy ...

Proficiency in Python (or similar ). Desirable skills and experience: Familiarity with LLMs for operational tooling (e.g., incident summarization, runbook automation) . Experience building AIOps or autonomous operations platforms . Proven track record in reducing manual operational workload across SRE teams. Proven track record in reducing the Mean Time ...

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 ...

Kryptos Technologies Limited is seeking an AWS AI Agent Engineer for a 3-4 month contract in London. The role focuses on designing, building, deploying and operating enterprise AI agents and multi-agent workflows on ...

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 ...

BT Group in the United Kingdom is seeking a Cloud Engineering Specialist - AWS to design and operate AWS‐based data and analytics platforms. You will implement IaC, build automated pipelines, and enforce security and reliability ...

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 ...

overall business operations. Lead proof-of-concept initiatives to automation resolution of events and incidents. Introduce and implement new machine learning models and aiops features. Process Improvement: Responsible to identify service optimisation initiatives to mature the overall service. Continuously improve IT and business service availability through effective use of observability … oversee the implementation of a comprehensive enterprise observability tooling architecture and strategy that supports ITSM, monitoring, observability, automation, and delivery management. Engage in AiOps project to ensure that the key monitoring tools like Datadog, AWS, Azure monitor, Dynatrace, etc is feeding the right logs and metrics into event mgt module ...

observability platforms including Dynatrace, Splunk, Grafana and Cribl. Develop dashboards, alerting frameworks and automated operational workflows. Integrate observability tooling with ITSM, Event Management and AIOps platforms. Support root cause analysis, performance optimisation and proactive monitoring initiatives. Act as a trusted advisor to technical and non-technical stakeholders throughout project delivery. ...

with strong emphasis on observability, reliability, cost control, security and continuous optimization in production environments. Required Skills Agentic AI, Engineering, AWS Platform, AIOps/LLMOps, Dev Key Responsibilities AI Agent Development Design and develop AI agents and multi-agent workflows using AWS AgentCore and Amazon Bedrock. Build autonomous and intelligent … Lambda, API Gateway, EventBridge, Step Functions, DynamoDB and SQS/SNS. Create reusable libraries, patterns and accelerators to standardize AI agent development across teams. AIOps, Production Monitoring & Operations Establish monitoring, observability and operational governance for production AI workloads. Track agent performance, model latency, cost, prompt effectiveness, error rates and quality ...