176 to 180 of 180 Observability Jobs in Central London

solutions for our clients to harness the value of data and AI. We advise across Data Governance, Strategy, Master Data Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. … reinventing Data Management & Governance for the AI era. Core capabilities AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy: experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. ...

work of multiple domain architects and subject matter specialists — across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference — providing the architectural vision, technical governance, and cross-domain coherence that binds their contributions into a unified … deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security, observability, governance, performance, and scalability — and that these concerns are addressed holistically and consistently across all domains. You will produce and govern the authoritative architecture artifacts ...

systems that enable trustworthy and context-aware AI experiences. Deploy, monitor and optimize LLMs and AI agents in production, implementing responsible AI guardrails and observability practices. Build AI-embedded applications and workflows using enterprise AI platforms, automation tools and modern engineering practices. Work model We believe hybrid work … Experience designing RAG pipelines and managing vector databases to ground and improve agent accuracy. LLMOps and model lifecycle management experience, including guardrail implementation, AIOps observability and CI/CD for AI systems. These will help you succeed Demonstrated agentic engineering and orchestration expertise paired with strong context and retrieval engineering. ...

technical standards, and change controls. Partner with Network Engineering, Cybersecurity, project managers, infrastructure teams, site Information Technology, vendors, and business stakeholders. Drive standardization, automation, observability, documentation, operational readiness, and continuous improvement across network services. Manage supplier relationships, support budgeting and forecasting, and communicate performance, delivery status, risks, constraints, and decisions … Experience supporting mergers, acquisitions, divestitures, or business integration activities. Familiarity with software-defined wide area networking, cloud networking, segmentation, secure remote connectivity, network automation, observability platforms, and Information Technology service management platforms such as ServiceNow. At Lubrizol, we are committed to providing a safe, inclusive, and empowering environment where ...

outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non-functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software … security and Responsible AI Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable Build observability into systems — logging, tracing, monitoring, alerting, and cost tracking — to ensure AI solutions remain healthy, performant, and scalable in production Produce detailed architecture artifacts — including ...