176 to 200 of 209 Anomaly Detection Jobs in the UK

Klarna in London is seeking a Senior/Lead Data Scientist to own end-to-end ML pipelines for fraud detection, from raw data to production models. You will rebuild detection systems at scale across hundreds of millions of transactions, converting rules-based approaches … into model-driven architectures. You will work with engineers and stakeholders to ship real-time inferences, deploying novel techniques such as graph networks and anomaly detection into production where they create real impact. #J-18808-Ljbffr ...

reviewer workflows, and assessment outputs institutions can act on and defend. Own integrity and proctoring: identity verification, fraud and impersonation signals, AI-assisted detection, and the balance between assurance and a humane applicant experience. Lead the mobile-first applicant experience — video capture … bandwidth resilience, accessibility, and drop-off reduction across devices and geographies. Make the case for AI where it genuinely helps — transcription, summarisation, scoring support, anomaly detection — while keeping humans accountable for decisions. Ensure interviews and assessment work coherently across two products, with a consistent experience for applicants ...

from multiple vendor and internal sources, using Python and SQL. You will build standardized data models, schedule pipelines with Airflow, and implement validation and anomaly-detection controls while collaborating with portfolio managers, researchers, and data analysts to refine datasets and documentation. #J-18808-Ljbffr ...

Postdoctoral Researcher to advance ML/AI methods for operational science. You will prototype ML/AI solutions for observation scheduling, data quality, anomaly detection, and user support, within a globally distributed team. The role requires a PhD (or near submission) in relevant fields and strong communication ...

operate, test and evidence to regulators. Strengthen clients’ ability to withstand and recover from destructive cyber events — embedding recovery testing, threat-led exercising and anomaly detection so that recoverability is proven, not assumed. Build Deloitte’s external eminence in resilience and recovery: authoring published points of view ...

validation into Azure DevOps and GitHub pipelines. Develop monitoring-as-code and testing-as-code using Terraform. Create actionable dashboards, SLOs, SLIs, alerts and anomaly detection. Drive reliability improvements, performance investigations and root-cause analysis. What we're looking for Strong hands-on Datadog experience across Synthetic Monitoring ...

workbench. Knowledge Graph automatically discovers services, infrastructure, and databases from the telemetry teams already have, maps how they depend on each other, and runs anomaly detection. This gives engineers, SREs, and their agents an up to date picture of their systems. We want anyone to be able to understand ...

internal teams to improve the organisation’s overall security posture. This position focuses on onboarding new log sources, optimising data pipelines, developing advanced detection use cases, and strengthening overall security monitoring and response. It’s an excellent opportunity for a security professional who enjoys building scalable, high-performing … Engineering Design and implement detection use cases aligned to MITRE ATT&CK and threat intelligence Build and tune correlation rules, anomaly detections, dashboards, and alerting workflows Continuously refine detections to reduce false positives and improve effectiveness SOC & Incident Response Support Partner with SOC analysts ...

data quality at scale. You’ll work with the founders and a lead data scientist to implement LLM-driven extraction, sentiment scoring and rapid anomaly detection on a Parquet data lake hosted on AWS. The role combines hands-on engineering with leadership, offers meaningful equity ...

store customer behaviour LLM-powered tools that support customers and store teams What you’ll do Build, train, and deploy models for forecasting, recommendations, anomaly detection, and more. Design and ship LLM-powered features — assistants, document and image processing. Take models all the way to production: serving ...

store customer behaviour LLM-powered tools that support customers and store teams What you’ll do Build, train, and deploy models for forecasting, recommendations, anomaly detection, and more. Design and ship LLM-powered features — assistants, document and image processing. Take models all the way to production: serving ...

automation and proactive service management. Enable AI-assisted development, code review and testing through build-with and build-for principles. Advance AI-driven observability, anomaly detection, predictive incident management and AI Operations. Token Economics and Operational Governance Partner with EAI on token economics on shared EAI tooling ...

operations expertise (essential) A deep, practical understanding of modern IT operations, including: Observability and monitoring, including event, metric and log correlation. AIOps: noise reduction, anomaly detection and predictive operations. Discovery, service mapping and configuration management (CMDB). Incident, problem and change practices, with ITIL 4 or equivalent. ...

Heads of Infrastructure. A deep, practical understanding of modern IT operations, including: Observability and monitoring, including event, metric and log correlation. AIOps: noise reduction, anomaly detection and predictive operations. Discovery, service mapping and configuration management (CMDB). Incident, problem and change practices, with ITIL 4 or equivalent. ...

large-scale transportation networks. Research may encompass multi-camera tracking and re-identification, geo-spatial mapping, 3D scene understanding, multimodal vision-language models, traffic anomaly detection, and explainable AI reasoning. A key objective is to enable AI systems that can not only detect what is happening ...

whitepapers , contributing to product strategy Familiarity with security audits , RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring , with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands ...

detail, self-motivated, and the ability to work well with people are essential Essential Criteria: 5+ years Java in production services Hands-on statistical anomaly detection: distribution divergence, robust z-scores, EMD, baseline/drift methods Unsupervised methods (Isolation Forest or similar) and their evaluation without labels ...

with AI• Take the two prototypes into production, measured against a baseline before anything touches live data.• Build what does not exist yet: anomaly detection on free-text fields, automatic categorisation of placements.• Write and maintain the scripts and integrations behind it.What We Are Looking For• Hands ...

with AI Take the two prototypes into production, measured against a baseline before anything touches live data. Build what does not exist yet: anomaly detection on free-text fields, automatic categorisation of placements. Write and maintain the scripts and integrations behind it. What We Are Looking ...

with platform or infrastructure products where the customer builds on top of you Exposure to data-heavy or algorithm-driven products (graph data, predictions, anomaly detection) Experience in an early-stage company where you built the product function A technical background (engineering, data or similar) Real ownership. ...

statistics. Commercial instinct: you talk in outcomes and recommend actions. A clear communicator who makes data easy for everyone. Experience building automated monitoring or anomaly detection is a big plus. Familiarity with mobile attribution and ad data. Why Kwalee? Generous Holiday: Start with 25 days of annual ...

Commercial instinct: you talk in outcomes and recommend actions. A clear communicator who makes data easy for everyone. Desirable Experience building automated monitoring or anomaly detection is a big plus. Familiarity with mobile attribution and ad data. Why Kwalee? Generous Holiday: Start with 25 days of annual ...

effectiveness. You will design data models and data products, manage access, and implement governance. You will build monitoring, automation and alerts, apply ML for anomaly detection, and support delivery with scalable data pipelines across ingestion and orchestration tools. #J-18808-Ljbffr ...

drive AI initiatives within the OneStream platform. The AI Product and Engineering team bridges AI research and products, focusing on time series forecasting, anomaly detection, and NLP to deliver tangible value for end users. The role involves designing scalable AI solutions, implementing robust systems, and collaborating with ...

cases and coordinate incident analysis workflows. The role requires hands-on configuration of event management, CMDB, and service mapping, with a focus on anomaly detection for CPU, memory, and disk utilization and improving monitoring #J-18808-Ljbffr ...