976 to 1,000 of 2,373 Observability Jobs in London

closely with our business and IT leaders to understand the requirements, propose scalable solutions and set engineering standards around performance, resilience, data quality and observability while remaining deeply hands‐on during the implementation phase. Key responsibilities to also include: Understand the evolving business requirements and use the domain knowledge ...

client interactions Nice To Have: Monorepo setups (Nx, Turborepo), Storybook, Playwright/Cypress, Vitest/Jest Performance monitoring (Lighthouse, Web Vitals) and logging/observability Security best practices (CSP, SRI, OWASP, dependency auditing) CDN, edge functions, SSR/SSG, ISR architectures Micro-frontend or design-system experience #J-18808-Ljbffr ...

tooling Familiarity with AI-assisted development tools, agentic workflows, and emerging standards for AI integration in SDLC processes Experience with developer experience design, tooling observability, and measuring developer productivity and quality outcomes Open source involvement or community presence If indicated, please note that years of experience are a guide ...

using GPUs, or an interest in distributed computing and scalable machine learning systemsUnderstanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisationAn appreciation of MLOps practices and the challenges of deploying machine learning systems at scaleStrong collaboration and communication skills, with experience working across engineering ...

discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization ...

architecture: Lead the design and implementation of highly scalable solutions, shape the wider integration architecture, and confidently steer technical discussions. Champion system health: Define observability standards and lead our weekly signal channel reviews to identify, investigate, and proactively resolve production anomalies before they impact our partners. Elevate engineering standards: Mentor ...

scenario or P&L explain where applicable Implement straight-through processing and controls, including reconciliation versus booking, data quality checks, audit trail, and observability Partner with execution and booking teams to define robust integrations, clear data contracts, and safe change management Own and enforce non-functional requirements, including latency budgets ...

analytics and ML systems Collaborate with Data Science and Platform teams to ensure robust and reliable model deployment pipelines Own the reliability, scalability, and observability of data workflows in production Contribute to data architecture decisions and documentation , ensuring data integrity and consistency across sources Design and maintain data models used ...

models serving millions of customers. Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS. Improve system performance, reliability, observability and scalability across the machine learning lifecycle. Contribute to technical design decisions, architecture discussions and engineering best practices. Mentor and support other engineers through coaching ...

enhance existing system functionality. Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines. Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners. Participate in defining the Company’s data tooling needs, including the maintenance of existing systems. Prepare documentation ...

them awayStrong Python engineering skills. Clean, testable, production-quality codeExperience with context engineering, including retrieval strategies, prompt construction, information routing, memoryExperience with evaluation and observability for AI systems. Measuring accuracy, detecting regressions, understanding failure modesThe ability to work across domains. You're comfortable embedding with a quant research team ...

write or review ADRs for significant changes. Improve app performance, stability, and startup/runtime metrics . Use best practices in observability to investigate and resolve production issues. Review code and mentor other engineers, with particular focus on architecture, testing, and Compose best practices. Contribute to the CI/ ...

ambiguous requirements, and translate them into clear functional and non‐functional requirementsEnable delivery and governance, collaborate with engineers to produce a detailed roadmap, define observability requirements (metrics, logs, traces), and participate in design reviews/architecture review boardsShape and document solution architectures and produce target-state and integration designs that ...

building scalable batch and real-time machine learning pipelines in cloud environments. Strong understanding of MLOps principles, including model deployment, monitoring, CI/CD, observability and operational excellence. Experience working with large-scale data processing technologies such as Spark. Strong understanding of machine learning frameworks such as PyTorch, TensorFlow, XGBoost ...

term strategic goals. Identifyopportunities toconsolidatecapabilities, reduce duplication, and increase platform reuse across the organization. Guide architectural decisions with engineering teams while balancing scalability, governance, observability, security, and maintainability. Contribute to the long-term technology strategy with a focus on extensibility, modularity, composability, and AI readiness. What success looks like ...

hybrid network environment across Azure, security, remote access, load balancing and branch connectivity.You'll lead the resolution of complex network challenges, drive automation and observability, and support our ongoing transition to a more Azure-native architecture.Key responsibilities:Own the reliability, performance and availability of Azure and hybrid network services.Act ...

founding capability Alongside individual products, the two founding engineers will establish the first reusable AI engineering capabilities: model access and serving, deployment, evaluation, observability, CI/CD and production patterns. These should emerge from delivered products and be reused where they help, rather than becoming a large central platform programme ...

company’s AI products and customer’s live infrastructure, including APIs, legacy data silos, and security perimeters. Build high‐performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in the company ...

Identify opportunities to consolidate capabilities, reduce duplication, and increase platform reuse across the organization. Guide architectural decisions with engineering teams while balancing scalability, governance, observability, security, and maintainability. Contribute to the long-term technology strategy with a focus on extensibility, modularity, composability, and AI readiness. What success looks like ...

evaluating vendor and open-source agentic AI platforms against enterprise requirements — including assessing agent reliability, hallucination risk, tool-call accuracy, cost-per-task, and observability At least 8 to 10 years working in a Digital Tech related role in software development/Implementation with a focus on architecture and design ...

tooling Familiarity with AI-assisted development tools, agentic workflows, and emerging standards for AI integration in SDLC processes Experience with developer experience design, tooling observability, and measuring developer productivity and quality outcomes Open source involvement or community presence If indicated, please note that years of experience are a guide ...

architectures. Experience developing or deploying enterprise AI applications on public cloud platforms, with practical knowledge of multi-model AI orchestration, model deployment, inference services, observability, and production operations. Strong customer-facing communication, presentation, analytical, and problem-solving skills with the ability to translate complex business requirements into scalable AI solutions. ...

quantitative discipline, e.g. Computer Science, Mathematics, StatisticsTrack record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etcExperience monitoring, maintaining, enhancing existing models over an extended time periodSpecialism in NLP or Computer VisionSolid understanding of fundamentals of statistics, optimization and ML theory. ...

mentor, tech lead or leading an engineering team. Strong coding skills in Go, Java, or equivalent. Experience designing, building, and operating high-scale observability or infrastructure systems. Bachelor's degree in Computer Science or equivalent. Life at Palantir We want every Palantirian to achieve their best outcomes, that ...

capable of autonomous action, tool use, multi‐agent collaboration, and long‐running workflows, organizations require new infrastructure for identity, authorization, execution environments, networking, governance, observability, and lifecycle management. We’ll trust you to Define and drive the vision for Bloomberg’s Agentic Infrastructure, with a focus on agentic control planes ...