901 to 925 of 2,062 Observability Jobs in the UK

accuracy. Excellent problem‐solving skills and the ability to work on complex, ambiguous projects, delivering results in a fast‐paced environment. Experience with observability, performance optimization, and production incident response. Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field (or equivalent practical experience). Preferred ...

technical designs, integrations, code quality, test automation, security and release readiness throughout the delivery life cycle. Ensure architecture meets requirements across performance, resilience, security, observability, compliance, maintainability and Salesforce platform limits. Mentor technical leads and developers, resolving complex design challenges and supporting cutover, production deployment and post-release assurance. ...

deliver comprehensive, end-to-end solutions. Solution Design & Infrastructure Leadership: Architect robust, scalable, and secure environments, leveraging Cisco’s AI-optimized networking, compute, and observability solutions to support complex A I workloads. Proof of Value (POV) Execution: Design, implement, and drive Proof of Value (POV) projects, validating solution performance ...

correctness, explainability, and maintainability. Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post-incident learning. Build observability into optimisation services (KPIs, logs, traces) and manage performance tuning (latency, throughput, cost) across environments. Contribute hands-on when needed (prototyping, critical-path coding, reviews ...

. Work with the team to ensure robust quality gates are met-including automated unit testing, CI/CD pipelines, and strict performance and observability standards. What You'll Bring: We are looking for a sharp, detail-oriented delivery professional who thrives in a fast-paced, multi-team environment. Essential ...

execution Build services that adhere to high standards on availability and latency in a mission-critical environment Leverage AI systems to optimize performance, observability, and operational efficiency What You Bring Bachelor's Degree in Computer Science, Engineering, or related field 6+ years of professional software development experience Experience designing ...

portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within the company’s leading Networking, Security, Collaboration, and Observability portfolios. Connected Devices helps assure the quality of home broadband connections for millions of people around the world. You might already be one of them ...

technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios. Connected Devices helps assure the quality of home broadband connections for millions of people around the world. You might already be one of them ...

support (L3/L4) for network incidents across all office locations, leading root cause analysis and driving permanent fixes. Own end‐to‐end network observability across all office environments, including monitoring, telemetry, packet loss, bandwidth utilisation and device health. Ensure Wi‐Fi and network performance delivers a high‐quality employee ...

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 ...

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 ...

Google'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 Google's AI stack ...

Google'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 Google's AI stack ...

technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios. Connected Devices helps assure the quality of home broadband connections for millions of people around the world. You might already be one of them ...

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 ...

standards in API publication and compliance).Experience with tools commonly used in enterprise Java teams (e.g., Maven/Jira-style workflows) and basic observability practices. Digital asset knowledge: familiarity with concepts such as custody, tokenization, wallets, or blockchain-adjacent workflows—enough to understand domain terminology and integration needs. Exposure ...

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 ...

interest, in Microsoft AI technologies such as AI Foundry, Agent Framework, Azure Machine Learning, vector search and RAG architectures. Knowledge of responsible AI practices, observability, evaluation frameworks and human-in-the-loop design patterns. The ability to work closely with both technical and non-technical stakeholders to identify opportunities ...

will be impactful and varied, including: Building new product features (full-stack, with frontend focus) Designing non-functional app features (e.g. offline support, improving observability) Contributing to technical roadmap planning Working with product/UX to iterate on the app design and requirements Participating in bug triage/diagnosis ...

learning 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 ...

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 ...

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 ...

front-end engineering strategy. Represent engineering in architecture boards and technical governance forumsChampion engineering best practices across code quality, testing, CI/CD, observability, and software delivery. Embed AI-driven engineering practices, helping teams leverage AI effectively throughout the software development lifecycle. Drive experimentation, optimisation, and testing strategies to improve ...

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 ...

owning the architecture for a secure, scalable multi-cloud AI Platform across Azure and AWS. Designing key platform capabilities, including ML pipelines, model hosting, observability, GenAI patterns and AI safety controls. Evaluating AI tooling and making evidence-based technology decisions that balance engineering needs, security, governance and cost. Creating clear ...