1,676 to 1,700 of 2,378 Observability Jobs in London

whole, with a clear path to shaping platform-level decisions at Staff level. Embed DataOps best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog. Collaborate with ML engineers and data scientists to productionise models and agentic tooling … systems and an eagerness to build expertise in stream processing technologies such as Apache Flink, Kafka, or Spark. (Nice to have: ClickHouse.) Familiarity with observability tooling such as Grafana or Datadog, and a good instinct for keeping systems healthy and well-monitored. Active engagement with the evolving AI/ ...

reach sanctioned targets.* Build CI/CD pipelines with integrated supply-chain security: SBOMs, image signing, artefact provenance, and automated policy gates.* Deliver comprehensive observability - logs, metrics, distributed traces, and cost telemetry - across long-running, non-deterministic agent workloads.* Build evidence-capture pipelines: immutable audit trails, artefact retention, and reproducible … egress control, network policy, and segmentation in cloud-native environments.* Strong CI/CD engineering skills and experience embedding security controls into delivery pipelines.* Observability expertise across logging, tracing, and metrics, including designing for auditability and evidence retention.* A security-first mindset with the judgement to balance researcher velocity against ...

where appropriate. Write evaluations, instrument agent behaviour, and ensure failure modes are visible and recoverable, using automated functional and non-functional tests, trace-level observability, red-team scenarios and measures for quality, groundedness, latency and cost. Build the interfaces through which finance users review, approve, override and evidence agent actions … agent frameworks, including embeddings, vector or graph retrieval, prompt and configuration management, and integration with enterprise data or services. Practical experience with evaluation, observability and LLMOps or AgentOps, including versioning, monitoring, release and rollback, and analysis of quality, latency and cost. Understanding of secure enterprise integration and sensitive-data handling ...

where appropriate. Write evaluations, instrument agent behaviour, and ensure failure modes are visible and recoverable, using automated functional and non-functional tests, trace-level observability, red-team scenarios and measures for quality, groundedness, latency and cost. Build the interfaces through which finance users review, approve, override and evidence agent actions … agent frameworks, including embeddings, vector or graph retrieval, prompt and configuration management, and integration with enterprise data or services. Practical experience with evaluation, observability and LLMOps or AgentOps, including versioning, monitoring, release and rollback, and analysis of quality, latency and cost. Understanding of secure enterprise integration and sensitive-data handling ...

across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies to avoid single-provider lock-in Embed AI governance, observability, and guardrail design as first-class architectural concerns — audit logging, human-in-the-loop escalation, adversarial testing, and compliance controls — not retrofitted after deployment Commerce … retrieval architectures and embedding pipelines in production (semantic search, RAG) Experience designing AI governance frameworks: auditability, HITL, red teaming, compliance controls AgentOps/LLMOps: observability, tracing, and model evaluation in production Commerce stack integration: OMS, PIM, DAM, CRM, payments, and fulfilment systems Proficiency in Python, agent frameworks, vector databases, APIs ...

Windows Server administration MS SQL Server (standalone and AWS RDS) Active Directory/identity integration IIS and .NET application hosting PowerShell scripting and automation Observability & Operations Monitoring and alerting platforms (Datadog, CloudWatch, etc.) Logging and incident response tooling Qualifications What We’re Looking For Extensive experience in DevOps, Cloud Engineering … production Experience with AWS Systems Manager (SSM) for patching and automation Exposure to containerisation (Docker/Kubernetes) Experience with Datadog or OpenTelemetry-based observability Understanding of FinOps and cloud cost optimisation What Makes You Successful You prioritise automation, reliability, and repeatability in everything you build You take ownership of systems ...

across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies to avoid single-provider lock-in Embed AI governance, observability, and guardrail design as first-class architectural concerns — audit logging, human-in-the-loop escalation, adversarial testing, and compliance controls — not retrofitted after deployment Commerce … retrieval architectures and embedding pipelines in production (semantic search, RAG) Experience designing AI governance frameworks: auditability, HITL, red teaming, compliance controls AgentOps/LLMOps: observability, tracing, and model evaluation in production Commerce stack integration: OMS, PIM, DAM, CRM, payments, and fulfilment systems Proficiency in Python, agent frameworks, vector databases, APIs ...

join specs early, push back on ambiguous acceptance criteria, and surface risk before code is written Close the loop on production issues using our observability stack (Datadog, Sentry, Grafana) - tying test coverage back to real customer impact Ensure teams have Service Level Objectives set up and are achieving them … Frontend: TypeScript, React, React Native Backend: PHP (Symfony), Kotlin, AWS, Postgres, RabbitMQ, Docker, Kubernetes Testing: PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6 Tooling and observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana Why join? See your work matter: Our products are used by millions of customers - the quality ...

architecture and design decisions for your solutions, keeping them secure, scalable, and aligned to the enterprise core stack. Take solutions through evaluation, observability, and our AI governance checkpoints, and keep them healthy afterwards. Build investment capability on Nexus Build advanced investment capability on Nexus and make it available across … portfolio construction. Snowflake, Microsoft Fabric/OneLake, or comparable enterprise data platforms. Azure AI Foundry, model gateways, inference routing, or AI evaluation and observability in production. TypeScript or a second production language, and front‐end experience for user‐facing AI applications. Supervisory responsibilities No. This is an individual‐contributor role. ...

/CD and continuous training pipelines to accelerate the path from experiment to supported production deployment. In this role, you will implement comprehensive model observability, data versioning, and drift monitoring while ensuring robust security and governance controls. Additionally, you will partner closely with product, data science, and core infrastructure teams … building, operating, and automating production ML pipelines covering experiment tracking, model registries, artifact versioning, dataset management, and deployment workflows. Deep hands‐on experience implementing observability for ML systems, including monitoring inference availability, latency, throughput, GPU/resource utilization, and data or model drift. Strong background in reliability engineering, including defining ...

easy thing for humans and agents alike. Define, document and continuously evolve the engineering standards that apply across Defaqto Technology — code review, testing, branching, observability, security by design, documentation and definition of done. Hold the line on quality in a way teams welcome: coaching, pairing and reviewing rather than policing. … licensing, lineage, provenance and auditability enforced in the technology rather than asserted in a policy document. Sound distributed systems and cloud architecture judgement — resilience, observability, performance, cost and operability, not just diagrams. Excellent influencing and communication skills: you build consensus across teams and can hold your own with product, commercial ...

Role: AWS Solution Architect Location: LondonCareer Level: Specialist/ConsultantPlease Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance, which requires 5 years continuous UK address history at the point ...

Company DescriptionAt IFS, we're building the next generation of AI-native enterprise software, transforming how some of the world's largest organisations manage assets, operations and critical services. This is an opportunity to work ...

Company DescriptionDo you want to develop your career and make an impact in the fast-growth, fast-moving B2B technology space? At Informa TechTarget, you'll collaborate and grow alongside some of the industry's ...

Thought Machine is hiring Senior Software Engineers for Infrastructure to deploy and maintain cloud-native platform infrastructure. You will work on multi-cloud orchestration, observability, and data layers to reduce cognitive load for developers and clients at scale. The role focuses on building resilient, scalable tooling with Python or Golang ...

Role Profile As part of the LSEG AI, we are hiring a Senior Product Manager–AI Observability to own the strategy, design and rollout of telemetry systems that monitor, measure and analyse how AI models, MCPs, and AI-enabled features behave across all LSEG products. This role is responsible … model performance tracking cost efficiency user experience optimisation operational reliability auditability and the long‐term evolution of our AI platform. Key Responsibilities & Accountabilities Telemetry & Observability Strategy Define the end‐to‐end telemetry vision and roadmap for LLMs, MCPs, vector stores, embeddings, inference layers and AI‐powered user experiences. Establish ...

Role Profile As part of the LSEG AI, we are hiring a Senior Product Manager – AI Observability to own the strategy, design and rollout of telemetry systems that monitor, measure and analyse how AI models, MCPs, and AI-enabled features behave across all LSEG products. This role is responsible … model performance tracking cost efficiency user experience optimisation operational reliability auditability and the long-term evolution of our AI platform. Key Responsibilities & Accountabilities Telemetry & Observability Strategy Define the end-to-end telemetry vision and roadmap for LLMs, MCPs, vector stores, embeddings, inference layers and AI-powered user experiences. Establish ...

scale. You will own tooling in Python/Go, extend Kubernetes and Docker usage, and help advance multi-cloud readiness. You will contribute to observability through Prometheus/OpenTelemetry/Grafana, strengthen DR/BCP, and collaborate with a talented team to deliver robust, scalable infrastructure across customers. #J ...

They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity … engineering expertise and advocacy skills to shape the ever‐evolving technological landscape. What You’ll Do: Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader ...

version control, CI/CD pipelines, automated testing, and modular code principles. Participate in pair programming, code reviews, and architectural design sessions. Data Quality & Observability Build monitoring and observability into data flows. Implement basic data quality checks and contribute to continuous improvements. Stakeholder Collaboration Work closely with business teams ...

versioned skills. Build reusable components, services, tool schemas, and integration patterns that can be shared across enterprise AI applications. Integrate logging, tracing, and observability frameworks, including Arize & Splunk compatible logging and agent observability tooling. Ensure applications and services are ready for deployment on enterprise container platforms such as OpenShift … services. Develop agent workflows that support complex user objectives through mcp & skill orchestration. Align solutions with enterprise platform standards, including application scaffolding, security, observability, logging, testing, and deployment practices. Ensure frontend applications are performant, accessible, maintainable, and aligned with reusable design patterns. Ensure backend and AI services are scalable, observable ...

Complexio is seeking an Operations Team Lead to own production reliability and lead a high-performance team. You will drive observability, incident management, and proactive reliability improvements across all live customer-facing systems. You will shape incident response, lead runbooks, and ensure sustainable on-call rotations while delivering measurable improvements ...

delivery. You will shape the engineering platform behind an elite team building mission-critical technology. You will define the roadmap, implement security, compliance and observability into the development lifecycle, and mentor the DevSecOps function as the company scales. #J-18808-Ljbffr ...

Elastic is recruiting a Public Sector Account Executive to drive government outcomes using Elastic’s Search AI, Observability, and Security capabilities. You will engage senior leaders and technical practitioners across departments to build strategic relationships and unlock data value while strengthening digital services for citizens. The role emphasizes curiosity, energy ...

UK. You will build executive relationships across government and Blue Light organisations, and drive growth across Elastic platform areas including Search, Security, Observability and AI. You will lead complex pursuits, collaborate across teams, and mentor colleagues while shaping the future of the business as Elastic expands its footprint ...