551 to 575 of 2,278 Observability Jobs in London

financial documents. Fine-tuning or distillation of language models, and inference optimisation. Experience with financial, investment or other regulated-industry data. Experience with LLM observability and evaluation tooling. THE REALITY Autonomous systems are being built inside high-stakes live businesses, where decisions carry real consequences and waiting for everyone ...

Collaborate with stakeholders across Engineering, Data Science, and Analytics Engineering to gather requirements and deliver high-impact data solutions. Ensure data quality, reliability, and observability across the platform through robust monitoring, alerting, and testing frameworks. Our Values & Culture ðJust Pilot: We never settle for "good enough". We pilot ...

things down when something surfaces. Run the tribe's services in production. Client money moves through them, so incident response, on-call health and observability are yours. Reviews are blameless, and what we learn has to change something. Decide how the team uses AI. We use Claude Code every ...

predictive techniques to a business problemExposure to AI product development, LLM tooling, or data applicationsExperience with data quality frameworks, semantic layers, or data observability toolingPrior experience working with HR, people, or workforce dataAdditional InformationBring all of you to workWe create the conditions for high performers to thrive, through real ownership ...

building golden datasets, and digging into why something failed. You've invested deliberately in your software engineering craft: testing, error handling, CI/CD, observability, and the MLOps practices that keep things healthy once they're live. You're hands-on across the GenAI stack: LLM APIs, retrieval and vector ...

evolve the architecture of Fin's web platform. Define the long-term technical strategy for the web team, focusing on scalability,performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders toensure the platform supports their goals with accuracy, performance, and agility. Lead ...

that train, serve, and secure our AI models. That includes data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff Software Engineer on the Infrastructure team, you'll scope and lead ...

based PaaS spanning hundreds of production clusters Apollo: secure, fleet-wide deployment and change-management for complex microservice suites Signals: our full suite of observability and alerting tools Core Responsibilities As a Software Engineer at Palantir, you’ll own every phase of the product lifecycle—from generating ideas and designing ...

Ability to manage multiple priorities and deadlines Experience with Zero Trust architectures and modern security frameworks Exposure to cloud networking (AWS, Azure) Exposure within observability and AIOps (Splunk, Logic Monitor, Big Panda) Experience with automation and AI-driven operations (Python, NetBox, Ansible, Terraform) Relevant certifications (e.g. CCNP/CCIE, JNCIP ...

with derivatives products, particularly credit derivativesExposure to cloud or hybrid environments (e.g. AWS)Infrastructure-as-code or deployment automation (e.g. Terraform, Ansible)Monitoring and observability tooling in enterprise environmentsWhy This RoleThis role offers the opportunity to work hands‐on at the heart of a critical risk platform, contributing to systems ...

testing, automation, and security to raise the overall engineering bar. Build and integrate tools and systems that improve operational efficiency and reliability, with strong observability through monitoring, alerting, and hands‐on involvement in incident response and post‐mortems. You’ll be great for this role if you have... Strong proficiency ...

based, workflow, or conventional automationOwn the end-to-end architecture of the internal AI estate – reference architectures, environment and tenant strategy, security, cost management, observability, and the DevOps and source control processes which support itRun discovery and shaping sessions with business stakeholders and process owners – translating stated needs into well ...

efficiently scheduling hundreds of thousands of containers every hourDesigning architecture and opinionated APIs to keep application developers on the happy pathTracing and performance observability in high scale distributed microservice architecturesBuilding reliant, performant, and scalable systems for storage, auth, or asset serving to enable other product teams to build robust applications ...

platform by design, including identity, data protection, content safety, and auditability. Define and implement AI operations (AIOps) practices for AI Platforms: Monitoring and observability, forensics on security anomalies, token/quota capacity planning, and workload optimization. Serve as a senior technical escalation point for AI platforms, leading investigation, root cause ...

shares learnings with others Has a strong sense of ownership and accountability for both individual and team outcomes Is curious about system performance, observability and how users interact with software in the real world Enjoys sharing knowledge, learning from others and helping elevate engineering standards Thrives in a collaborative environment ...

move into production with confidence Build and orchestrate analytical/processing pipelines across ingestion, training, inference and post-processing with built-in monitoring and observability Design and implement processes to increase efficiency in your workstreams Identify and integrate tooling (including AI tools) to streamline your work Work closely with cross ...

APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service ...

Kotlin and Swift. Required: experience with Git-based development workflows and CI/CD release pipelines (We use Github Actions). Required: experience with observability and crash tooling used in mobile environments (for example Sentry, Firebase, Crashlytics). Preferred: Python for data analysis and validation workflows. Preferred: experience with feature ...

bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability, drift detection, and failure handling across the ML lifecycle Enhance experimentation and measurement strategies , including A/B tests, causal inference methods, and long-horizon ...

bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability, drift detection, and failure handling across the ML lifecycleEnhance experimentation and measurement strategies, including A/B tests, causal inference methods, and long-horizon metrics ...

tooling and improvements that would have real impact, then take ownership of building them once we agree they're worth it. Support reliability and observability, using Datadog to make sure we find out about problems before our customers do. Take part in the operational work: migrations, upgrades, incident response ...

building and integrating APIs and services. Experience deploying and running solutions in the cloud, ideally Azure, with proper CI/CD, testing, monitoring and observability, and a security and data conscious mindset when working with sensitive financial data. Genuinely comfortable with non technical stakeholders, able to run discovery, explain technical ...

contracts and reusable features for entities such as clients, organisations, people, matters, sectors, jurisdictions, opportunities and legal topics. Implement data-quality checks, lineage, provenance, observability, monitoring and change management within Fabric and Databricks workflows so data assets remain trusted over time. Conduct exploratory data analysis to surface patterns, gaps, anomalies ...

driving technical vision and leading the architecture of large, multi-team projects from inception through to successful production rollouts. Exceptional skills in systems observability, and have SLO/SLIs thought through. Experience with production debugging, and ensuring the reliability of critical Tier 1 services. Product mindset with the ability ...

innovations from experimentation through to productised, maintainable solutions that deliver measurable value. Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines. Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams. Lead complex, multi-team technical initiatives ...