826 to 850 of 2,338 Observability Jobs in London

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 ...

keeps everyone moving. We're Looking for Someone With Strong Technical Fluency: Comfortable with APIs, relational databases like Postgres, MySQL, or ClickHouse, and observability tools like Datadog. You can write Python, navigate a codebase, and work comfortably in GitHub. A Builder Mindset: You enjoy figuring things out yourself. ...

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 ...

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 ...

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 ...

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 ...

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. ...

data sharing, and secure-by-design patterns. Define the approach for Declarative Pipelines with Expectations (DLT): Data quality strategy, validation rules, quarantine patterns, and observability standards. Champion “production-ready” engineering standards: CI/CD approach, environment strategy (dev/test/prod), monitoring, runbooks, and operational readiness. Drive stakeholder alignment ...

operating production‐grade systems (e.g. you know your way around logs, traces, metrics, feature flags, and can debug live traffic issues) Familiarity with observability tooling (e.g. Prometheus, Grafana, Sentry and Lightstep) A good understanding of Domain Driven Design experience integrating with third‐party APIs and services, particularly those with nuanced ...

standards, and supporting delivery teams with architectural guidance and complex problem-solving. Design and govern integration solutions, defining standards for architecture, security, resiliency and observability while aligning patterns, tooling and shared services across platforms and teams. Provide deep technical leadership across Apex, LWC, data, security, performance and DevOps, assuring solution ...

partner with senior engineers on architecture and design. Ensure high standards for system design, code quality, testing, and operational excellence. Drive improvements across reliability, observability, security, and developer productivity. Work cross-functionally with product, design, compliance, sales, and engineering leaders to align execution with business priorities. Help translate enterprise customer ...

testing, and red-teaming Strong LLM/GenAI engineering fluency: prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, observability, and failure-mode analysis (e.g., prompt injection, tool misuse, error propagation across steps) Track record of taking advanced AI systems from prototype to production, with ...

operating detection engineering programmes. Threat hunting or purple team experience. Experience with CNAPP, CSPM or exposure management platforms. Experience with eBPF or modern observability tooling. Experience implementing security automation using SOAR or similar orchestration platforms. Knowledge of policy-as-code and security governance. Familiarity with supply chain security and software ...

focused features. Provide support to users of the platform. Perform maintenance work and drive internal tech investments for platform stability, reliability and scalability. Build observability and alerting mechanisms for the platform. Improve the Continuous Integration/Continuous Deployment (CICD) setup of the platform. Operate effectively in a fast-paced ...

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

those forums. Provide executive- and client-level technical advisory, translating complex infrastructure trade-offs into clear, defensible recommendations tied to business outcomes. Define monitoring, observability, and reliability strategy across InfraOps and MLOps, and implement the instrumentation, SLAs, SLOs, and cost/performance governance for production AI/ML systems. Ensure ...

. Background in forecasting, planning, or analytics applications. Experience with A/B testing and experimentation frameworks for AI features. Experience with model observability tools (e.g., LangSmith, W&B, MLflow). Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering ...

excited about choosing the right tool for the job. You have strong experience with distributed architectures, asynchronous messaging, and relational databases. Production & Observability Focus: You don't just write code; you know how to run it. You have experience building standard APIs, integrating external systems, and setting up robust monitoring ...

paced environment where you can make a real difference, we want to hear from you! What You’ll Do Develop and implement a comprehensive observability strategy for self-hosted deployments, including infrastructure and tooling for monitoring, alerting, and troubleshooting. This will involve designing and implementing robust metrics and logging systems. ...

harness, not simply work inside it. Help establish engineering at CodeWall. Own what you build in production and help set the architecture, infrastructure, testing, observability, delivery and engineering standards the team that follows us will inherit. There are substantial platform and scaling decisions ahead ...

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 & ExplainabilityDeep experience applying a wide range ...

locking. Ability to write complex SQL queries, both for operational and reporting purposes. Experience writing and integrating database queries with Grafana or similar observability and dashboarding tools is desirable. Experience with or interest in version‐controlled or branching database systems (e.g. Dolt). Familiarity with Redis and Elasticsearch administration ...

application security experience. Proven expertise in Threat Modeling. Ability to perform structured reviews (e.g., STRIDE) of complex data flows and operational processes. Experience with observability and detection tooling (SIEM, logs, metrics) and ability to write basic detection rules. Practical experience with KMS/HSM, secrets management platforms (Vault, 1Password ...

this role involves defining contracts, documenting decisions, and helping other engineers integrate with what you build. What's nice to haveExperience with observability, including tracing, logging, and metrics. Experience integrating with GCP, AWS, or Azure. Experience working with product analytics, event tracking, or telemetry systems.#LI-HybridWhy Join Neo4j Neo4j ...

creating a complete view of the customer. Data Governance & Quality: Ensure the integrity of our tracking. Work with Insight Products to ensure our data "observability" allows for decentralized, high-speed insight creation. Talent Development: Act as a mentor to other team members, fostering a culture of continuous learning, technical rigor ...