1,126 to 1,150 of 2,378 Observability Jobs in London

infrastructure components (e.g. scheduling, resource allocation, data movement, filesystems).Analyze and improve performance and scalability of systems and critical code paths. Improve the reliability, observability, and usability of ML or HPC platforms. Collaborate with quantitative researchers and developers to understand requirements and translate them into robust technical solutions. The opportunity ...

implement performant APIs and services Build infrastructure to support cutting‐edge AI capabilities Optimise database performance and query efficiency Continuously improve reliability and observability through enhanced monitoring and alerting Collaborate cross-functionally to ensure our infrastructure supports continuous product innovation Your background looks something like: Engineering experience in tech ...

resilience. Alongside individual products, you'll help establish the company's first reusable AI engineering capabilities, developing practical patterns for model access, deployment, evaluation, observability, CI/CD and production AI. This is a high-autonomy role for a highly capable engineer who enjoys ambiguity, moves quickly from idea ...

backend services. Creating scalable data ingestion and processing pipelines. Supporting the integration of AI-driven functionality into customer-facing products. Owning software quality, observability, deployment, and release processes. Collaborating with product and engineering teams to translate requirements into production-ready solutions. Contributing to the growth and development of the software ...

Write production-quality code (Java, JavaScript, Solidity, SQL) Review code and help set engineering best practice Improve CI/CD pipelines, testing strategy, and observability Communication & Influence Explain complex technical ideas clearly to engineers, product, clients, and regulators where relevant Adapt your message to different audiences Use structured, persuasive communication ...

production Comfortable working in a fast-moving engineering environment with frequent releases and a high volume of transactions Strong engineering standards around testing, security, observability and reliability Comfortable making architectural decisions and taking accountability for the services you build Experience within payments, FX, banking, ledgers, reconciliation or other financial systems ...

resilience. Alongside individual products, you'll help establish the company's first reusable AI engineering capabilities, developing practical patterns for model access, deployment, evaluation, observability, CI/CD and production AI. This is a high-autonomy role for a highly capable engineer who enjoys ambiguity, moves quickly from idea ...

backend services. Creating scalable data ingestion and processing pipelines. Supporting the integration of AI-driven functionality into customer-facing products. Owning software quality, observability, deployment, and release processes. Collaborating with product and engineering teams to translate requirements into production-ready solutions. Contributing to the growth and development of the software ...

technology stack is Java, Spring Boot, and Kafka. You’ll work with distributed services, asynchronous processing and data at scale. We design for scalability, observability, privacy, security, reliability, and cost. What are we looking for? You are an expert in your technical discipline. You understand your team’s technical ...

Paramorph — a foundation model, trained with multi-agent reinforcement learning, that controls and optimises the training of other AI models. Metrana — an AI-powered observability platform for large-scale reinforcement learning and foundation model training workloads. We are backed by Amadeus Capital Partners, the European Innovation Council and Amazon ...

Airflow, Dagster, Prefect or similar systems. Familiarity with data warehouses, object storage, queues, APIs and cloud infrastructure. Experience with data quality testing, lineage, observability, versioning or change‐data capture. The ability to work with incomplete, inconsistent or poorly documented source data. Strong software engineering fundamentals, including testing, code review ...

Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Experience with model observability tools (LangSmith, W&B, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture ...

fulfilment, merchandising, supply chain, store operations). Introduce AI engineering practices including model lifecycle management, evaluation frameworks, data pipelines, CI/CD for ML, observability, safety and governance. Guide teams in adopting agentic coding systems (e.g., Claude Code, PI, MCP-based tools) and integrating them into real workflows, repos ...

fulfilment, merchandising, supply chain, store operations). Introduce AI engineering practices including model lifecycle management, evaluation frameworks, data pipelines, CI/CD for ML, observability, safety and governance. Guide teams in adopting agentic coding systems (e.g., Claude Code, PI, MCP-based tools) and integrating them into real workflows, repos ...

fulfilment, merchandising, supply chain, store operations). Introduce AI engineering practices including model lifecycle management, evaluation frameworks, data pipelines, CI/CD for ML, observability, safety and governance. Guide teams in adopting agentic coding systems (e.g., Claude Code, PI, MCP-based tools) and integrating them into real workflows, repos ...

controls sync seamlessly with customer-facing applications. Support operational tooling and customer support workflows through Watson. Reliability, Scale & Operations Own cloud platform reliability, uptime, observability, and incident response. Drive best practices in testing, monitoring, and resilience. Balance rapid product delivery with long-term platform health and technical debt management. People ...

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. ...

rollout, and own the results once they're in production. Keep the Platform Healthy: Take part in on-call for critical services, build in observability and quality checks by default, and use automation, including AI tooling, to reduce toil for the team and our users. Who You Are You have ...

device driver development for Windows, Linux, or Mac. Systems Analytics; Dynamic tracing and performance analysis tools such as Instruments, VTune, DTrace and eBPF. Observability technologies, logging and metrics. Security principles including PKI, certificates and cryptography. Communication and Collaboration We work on complex, cross-functional features that require close collaboration with ...

younger or potentially vulnerable users . Introduce monitoring, budgeting and reporting around AI model usage and inference costs . Develop approaches to AI cost observability and cost management . Establish standards around maintainability, monitoring and operational support . Work with engineering teams on prompts, context, configuration, tools, APIs, integrations ...

solutions in complex enterprise environments. Strong understanding of modern AI systems and agentic workflows including LLM integration, retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-in-the-loop workflows. Ability to analyse complex workflows, simplify ambiguity and translate business requirements into practical and responsible solutions. Strong communication skills ...

pipelines for synthetic data generation, data curation, training, evaluation, and deployment. Debug and harden large‐scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility. Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions. Push the frontier of our RL training stack (e.g., high-throughput ...

automation frameworks within an engineering team to expand operational scope and reduce toilExperience managing on-call rotations, defining service-level objectives, and implementing observability and alerting improvements at scaleFamiliarity with container orchestration, service mesh architectures, or large-scale deployment pipelines in a production environmentExperience adhering to and implementing responsible, ethical ...

services, improving the reliability and flexibility of our pricing products.### Skills Required* Software engineering* Java* OOP language* Architectural design* Code reviews* Reliability engineering* Scalability* Observability* Incident resolution* Post-incident review* Stakeholder engagement* Mentoring* Coaching* Payments industry experience* Fintech industry experience* Distributed systems* Compliance systems* Audit systems* Regulatory requirements ...

organizations. This shift brings challenges that cannot be solved at the level of individual tools alone, challenges that involve governance, security, cost control, observability, and coordination between humans and autonomous agents. The company Platform team (JCP) is building the foundation that connects developer workflows, team-level collaboration, and organizational control ...