176 to 185 of 185 Observability Jobs in Scotland

products. As a Senior/Lead AI Engineer, you will own and drive the development of our core agentic frameworks, evaluation pipelines, and observability tooling to ensure they operate with safety, trust, and intelligence at scale. You won't just be integrating AI into a product, you will lead … CrewAI is a plus. Production Python engineering : Clean, modular, testable, maintainable code - you care about system reliability as much as model output. Evaluation & observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka ...

harnesses and test suites that measure agent correctness, safety and regression before anything ships. Own AgentOps/DevSecOps: CI/CD for agents, versioning, observability and telemetry, shift-left security, and Responsible AI governance baked in from day one. Run a continuous, adaptable feedback loop: feed production telemetry, evals … Eval-driven development: designing evaluation harnesses and measuring agent quality, safety and reliability. Standards-based integration and DevSecOps: APIs, secure auth, CI/CD, observability and AgentOps. Ability to conceptualize a business problem as an agent quickly, and operate effectively in ambiguous, customer-embedded settings. Client-facing maturity: translates fluidly ...

infrastructureStay hands-on: review code, prototype solutions, and get into the details when it mattersEstablish engineering standards across code quality, system design, testing, and observability, and hold the team to themBe the person engineers come to when the problem is genuinely hardTeam Building & Culture Recruit, develop, and retain a team … monitoring problemsExperience writing performance software in RustBackground in space systems, aerospace, or highly constrained real-time environmentsExperience building data lakes, telemetry platforms, or observability infrastructure at scaleA history of leading teams through technical transformations and not just maintaining the status quoSpire operates a hybrid work model, and this position will ...

JPMorgan Chase & Co. is seeking a Software Engineer III in the AI/ML Technology domain to build production software with AI-enabled capabilities. You will develop Python backends, APIs, and microservices, and implement LLM ...

JPMorgan Chase in the United Kingdom is seeking a Senior Lead Site Reliability Engineer to join an agile team focused on reliability, observability, and performance across critical platforms. You will mentor engineers, lead incident response, and shape SRE strategy while delivering scalable, secure production systems. The role demands deep expertise ...

Fraud & Security Value Stream. The role supports the design, implementation and continuous improvement of AI-enabled capabilities that strengthen fraud detection, cyber defence, security observability, operational resilience and AI governance. It maintains alignment between business priorities, delivery outcomes, control obligations and technical implementation throughout the lifecycle of each initiative. Responsibilities … flow views. Work with data and engineering teams to confirm readiness. Embed secure-by-design and responsible AI requirements. Document control, privacy, compliance, auditability, observability and governance-gate evidence. Support risk assessments and production-readiness reviews. Partner with architects, product leads, engineers and platform teams. Support backlog refinement, dependency management ...

work with Product Owners, Architects and Security teams to deliver secure and scalable platform capabilities across the business. This hands‐on role covers resilience, observability, governance and measurable outcomes, with a focus on enabling teams to adopt AI safely and effectively. #J-18808-Ljbffr ...

other sources Apply the A2A (Agent-to-Agent) protocol to enable interoperability between agents across systems and workflows Instrument AI systems with observability and tracing tooling — CloudWatch, spans, and traces — to support debugging, performance monitoring, and compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function … strong, applied proficiency in an AWS and AI context AWS infrastructure — working knowledge of Lambda, DynamoDB, and S3 as components of AI system backends Observability — experience instrumenting AI systems with tracing, logging, and monitoring tooling (CloudWatch preferred) LLM integration — prompt engineering, tool/function calling, context window management, and output ...

JPMorgan Chase is seeking a Lead Software Engineer for the AI and Machine Learning Platform team to design and operate scalable AI infrastructure. You will own reliability, performance, and cost-efficiency of the LLM inference ...

Baillie Gifford is seeking a Data Architect to translate enterprise architecture into concrete data designs across ingestion, processing, storage, APIs and observability. You will collaborate with data engineers, platform engineers and governance teams to ensure ...