51 to 75 of 81 Observability Jobs in Central London

faster, at higher quality and with less friction. A senior IC role owning the internal platform end to end: developer-facing products, quality and observability workflows that scale without adding headcount, building for a user base that's increasingly agentic as much as human. You'll prototype rather than just ...

scalability, and operational excellence across a complex, regulated environment. Key Responsibilities Lead the implementation of SRE best practices across cloud infrastructure Drive improvements in observability, alerting, and capacity planning (SLA/SLO/SLI) Identify and reduce operational toil through automation and remediation frameworks Build and enhance GitOps and Infrastructure … cloud environments (AWS/GCP) Strong scripting skills (Python, Ansible, or PowerShell) Experience with Infrastructure as Code and GitOps methodologies Hands-on knowledge of observability/APM tools (e.g. Grafana, Datadog, Dynatrace) Proven experience managing incidents, root cause analysis, and on-call support Understanding of SLA/SLO/ ...

work from home 2 days per week. This is a high-impact role focused on improving data quality, reducing incidents, and building scalable observability across a modern enterprise data platform. Youll help ensure data across the organisation is accurate, reliable, and trusted for critical business decision-making. Youll take ownership … style roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ...

tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets the team ship LLM features with confidence. You will: Design and grow the eval platform - golden datasets, regression suites … judge Integrate observability and tracing across providers and prompt versions Track cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs ...

tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets the team ship LLM features with confidence. You will: Design and grow the eval platform - golden datasets, regression suites … judge Integrate observability and tracing across providers and prompt versions Track cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs ...

Purpose of the role: Capita's MuleSoft Centre for Enablement & Excellence (C4EE) is expanding its architectural capability to support large-scale integration and API transformation programmes for major UK Government and private-sector clients. As ...

ROLE Design and build core AI platform components for a leading buy-side investor. You'll own the LLM gateway, MCP connector layer, observability tooling, and privacy proxy translating business use cases into governed, production-ready AI systems . WHAT YOU'LL DO Design and maintain LLM gateway, MCP connector … layer, observability, and privacy proxy Develop MCP connectors across data sources (M365, Salesforce, Kensho, Moody's, internal systems) Build AI-powered tools and workflows for business teams Integrate Databricks/Unity Catalog as data foundation for AI features Write clear specifications before building; ensure proper test coverage Support prompt engineering ...

business needs into technical deliverables. Drive agentic workflows and AI tooling adoption across the product development lifecycle to deliver tangible value. Establish robust evaluation, observability, and quality practices for AI systems, balancing speed with reliability. Guide teams through ambiguity and rapid change, making pragmatic decisions and removing blockers. Measure success … development. Hands-on experience with AI models, tools, and frameworks, including agent orchestration, prompt engineering, RAG pipelines, evaluation frameworks, LangChain, Codex, Claude, Gemini, and observability tools and best practices. Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments. Excellent communication skills across technical ...

business needs into technical deliverables. Drive agentic workflows and AI tooling adoption across the product development lifecycle to deliver tangible value. Establish robust evaluation, observability, and quality practices for AI systems, balancing speed with reliability. Guide teams through ambiguity and rapid change, making pragmatic decisions and removing blockers. Measure success … development. Hands-on experience with AI models, tools, and frameworks, including agent orchestration, prompt engineering, RAG pipelines, evaluation frameworks, LangChain, Codex, Claude, Gemini, and observability tools and best practices. Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments. Excellent communication skills across technical ...

break down ambiguity, coordinate across Product/Design/Data to land outcomes. Raise the quality bar: define practical standards for testing, security, and observability, act as approver on critical PRs, model excellent reviews and pairing. Operate and improve production: own service performance targets for your area, lead incident response … simple. Technical Execution & Delivery: Leads execution across multiple stories/engineers, breaks down ambiguous problems, and delivers predictably with sensible trade-offs. Testing, Reliability & Observability: Bakes in testability, defines/uses service performance targets, alerts, logs, and traces, advocates for reliability alongside features. Security & Privacy: Applies secure-by-default patterns ...

break down ambiguity, coordinate across Product/Design/Data to land outcomes. Raise the quality bar: define practical standards for testing, security, and observability, act as approver on critical PRs, model excellent reviews and pairing. Operate and improve production: own service performance targets for your area, lead incident response … simple. Technical Execution & Delivery: Leads execution across multiple stories/engineers, breaks down ambiguous problems, and delivers predictably with sensible trade-offs. Testing, Reliability & Observability: Bakes in testability, defines/uses service performance targets, alerts, logs, and traces, advocates for reliability alongside features. Security & Privacy: Applies secure-by-default patterns ...