1,001 to 1,025 of 2,750 Observability Jobs in England

with SageMaker Pipelines, Training, Processing, Model Registry, Endpoints, Monitoring, and deployment workflows.* CI/CD, infrastructure as code, model lifecycle management, and automated retraining.* Observability, drift detection, experimentation, and performance engineering.* Multi-account AWS deployments and cross-account ML platforms.Model Development, Governance & Explainability* Deep experience applying a wide range ...

novel solutions in Palantir’s Foundry and Apollo platforms to solve infrastructure challenges What We Value Confidence in troubleshooting complex systems issues independently using observability tools and service logs Ability to identify and automate highly manual tasks, driving ongoing improvements within and across teams Comfort with large scale production systems ...

labs (Eurofins, Randox), wearables, and third-party partners. Clean data in, reliable inference out Production reliability — LLM endpoints that reason correctly at scale, with observability, evals, and failure modes you've thought through before they happen Medical collaboration — translate complex clinical requirements into agent workflows, working side by side with ...

privacy and failure handling. Design secure authentication, permissions and data boundaries for products used across different teams and, where relevant, clients. Improve automated testing, observability and deployment processes. Investigate and resolve complex issues across applications, infrastructure and third‐party integrations. Contribute to technical standards through design discussions, code reviews ...

powerful suite of proprietary tools and assets. At the core is the Harmoni.AI Enterprise Platform, which includes Agent Bridge -a governance and observability framework; Agent Builder -a development toolkit for fungible agents integrated into enterprise systems; and the Agent Marketplace -an internal ecosystem for modular, reusable agents. Headquartered in Bengaluru ...

powerful suite of proprietary tools and assets. At the core is the Harmoni.AI Enterprise Platform, which includes Agent Bridge -a governance and observability framework; Agent Builder -a development toolkit for fungible agents integrated into enterprise systems; and the Agent Marketplace -an internal ecosystem for modular, reusable agents. Headquartered in Bengaluru ...

engineering workflows and data/analytics interfaces. They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture. ResponsibilitiesDesign, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed. ...

issues, from investigation through to resolution and prevention Exposure to a broad tech stack spanning C#/.NET, React, Azure, event-driven architecture and observability tooling A role structured around learning while delivering: broadening your technical skills and system knowledge while contributing real value from day one What Makes ...

Splunk - a Cisco company, provides the Unified Security and Observability Platform. The world’s leading organisations trust Splunk to go from insight to action fast and at scale; organisations such as McLaren, Heineken, and Tesco are turning data into action with Splunk. Join us as we pursue our innovative vision ...

have recent experience building and operating AI systems in production. You understand the realities of LLMs and agentic systems, including retrieval, context engineering, evaluation, observability, model selection, security and the data and cloud infrastructure underneath them. You're also a strong software engineer, comfortable with Python and SQL and able ...

technologies and third-party platforms to identify opportunities that accelerate innovation and product transformation. Ensure products are built with resiliency, scalability, security, reliability and observability at their core, enabling long-term platform success. Leverage customer insights, operational metrics and market intelligence to inform product strategy, prioritisation and continuous improvement. What ...

experience troubleshooting and conducting root cause analysis on production issues — calm, structured and methodical under pressure, not just familiarity with the concept Comfort with observability tooling (e.g. New Relic, CloudWatch, or equivalent) to diagnose issues rather than working blind Experience of managing infrastructure projects from proposal through to production. Nice ...

search layer used to ground agent responses in approved data sources.* Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability, and lifecycle management for MCP tools and Skills.* Designing and building MCP servers and Skills that expose internal and vendor systems safely to agents.* Establishing evaluation, quality ...

architectures and reusable patterns for Azure infrastructure. Design secure, performant and supportable architectures for delivery by RM's Infrastructure Engineering team. Ensure designs include observability, resilience, and security by design. Ensure designs are scalable, available, control costs, and provide cost reporting capabilities. Work with technical architects, development leads and project ...

advise where retrieval, fine-tuning or agents fit the work and explain their limitations. A repeatable deployment You keep tenant isolation, auditability and observability inside the design, aligned with AWS and CI/CD patterns. You support pilots and production cutovers, making data-residency, latency and model-behaviour risks explicit ...

TypeScript, reviewing code, and resolving complex technical challenges. Design production‐grade AI architectures across LLM/RAG, retrieval, agentic workflows, evaluation, guardrails, tool calling, observability, and cost/latency optimisation. Define reference architectures, reusable patterns, and technical standards across applications, data, integrations, security, and cloud infrastructure. Translate requirements from investment ...

above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure ...

data needs. Partner closely with internal teams to understand their data requirements, translating them into well-engineered, production-ready solutions. Set up and own observability for data workloads - monitoring, alerting, and logging - and lead incident response when things don't go to plan. Participate actively in code reviews, raising ...

notebooks, BI tools, and cloud data platforms. Strong understanding of SQL-centric developer workflows, including data modeling, query optimization, semantic layers, transformation frameworks, governance, observability, and dashboard or analytics consumption patterns. Experience building demos, prototypes, reference apps, or production-oriented examples for analytics, BI, data applications, or modern data stack ...

support the service, including incident, major incident, request, problem, change, release, knowledge and continual improvement activities. Embed availability, capacity, resilience, continuity, performance, security, observability, user experience and supportability requirements into service designs. Help define service levels and service health measures, including SLAs, SLOs, SLIs, operational metrics, monitoring, alerting, dashboards ...

contract specifications, output port and schema design, data product versioning, DQ requirements, SLA and SLO declarations, and semantic layer conventions Champion data quality, lineage, observability and governance, ensuring checks, SLAs and alerting are expressed as code and monitored in production rather than asserted on a page. As a key member ...

deployment, monitoring, drift, and iteration Experience partnering with engineering and data science on technical architecture, APIs, data pipelines, workflow orchestration, scalable data products, MLOps, observability, and reliability Experience defining evaluation and validation frameworks for AI or ML products, including offline metrics, online experimentation, human evaluation, quality thresholds, error analysis ...

informed decision makingTrack record of mentoring others and elevating team capabilitiesNice to Have: Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity).LLM observability tools: LangSmith, Arize, Weights & Biases. AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba).Startup, founder, or cross-functional multi-product experience. ...

large-scale inference, automated evaluation, model monitoring, active learning and retraining. Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets. Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve's requirements ...

technology estates through pragmatic replatforming, SaaS transformation, progressive decomposition and selective replacementShaping AI-enabled and agentic products and platforms, including data foundations, integration, observability, security and governanceDesigning for critical quality attributes including resilience, scalability, performance, security, privacy and recoverabilityFraming consequential technology decisions and articulating trade-offs across value, speed, cost ...