22 of 22 Permanent Anomaly Detection Jobs in London

conversational interfaces, AI-powered agents, and developer experience tools. Your scope covers everything from in-chat interactions and agent-driven workflows to proactive notifications, anomaly detection, and human-in-the-loop interventions across payroll, HR, and compliance.This isn’t just about making AI features look good … Akai, conversational interfaces, agents, labs, and developer experience tools.Establish the strategic approach for how intelligence surfaces across the platform—from proactive agent notifications and anomaly detection to in-chat actions and workflow automation.Shape strategic conversations using insights, narratives, and design vision to influence direction and uncover ...

analytics capabilities.Strong experience developing dashboards and analytical solutions in Power BI.Experience applying advanced analytical techniques such as statistical analysis, forecasting, segmentation, cohort analysis, anomaly detection or driver analysis.Good understanding of data modelling, data warehousing and ETL processes.Strong problem-solving skills and the ability to turn ambiguous business ...

reuse. Schedule, monitor, and manage data pipelines using Airflow or similar workflow orchestration tools to ensure reliable, timely data delivery. Implement validation, reconciliation, and anomaly-detection controls to maintain data completeness, accuracy, and consistency. Apply AI to automate schema inference across structured and semi-structured data sources ...

platforms (Azure, AWS, or GCP).Strong understanding of AI/ML concepts and their application in manufacturing: predictive maintenance, quality inspection, process optimization, and anomaly detection.Proficiency with data analytics and BI tools (Power BI, Tableau, or similar) and ability to design operational dashboards and KPI frameworks.Fluency in English; additional ...

data warehouse. Familiarity with data pipelines, APIs, workflow orchestration or system integrations. Exposure to governance, risk and compliance (GRC) platforms. Experience with statistical analysis, anomaly detection, forecasting or early-warning indicators. Experience using external regulatory, market or threat intelligence to support risk monitoring. Familiarity with AI agents ...

identify trends, patterns, and anomalies associated with potential ATO and Send Scam threats. Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance. Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions. … programming languages such as Python, R, or similar. Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL).Familiarity with anomaly detection, supervised, unsupervised learning methods, deep learning, and graph based solutionsDemonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex ...

orchestration, retrieval-augmented generation (RAG), prompt engineering, and evaluation. Strong experience in the physical space: labs, manufacturing control, edge deployment of models, predictive and anomaly detection modeling, closed-loop control. Strong experience in lab automation and self-driving lab workflows: robotics, instrument integration, and digital-to-physical ...

identify scraping, bot activity and unauthorised content extraction using fingerprint analysis, behavioural signals and network data Build and maintain a portfolio of detection signals and continuously evolve them as threat actors change their tactics Measure detection performance through coverage, precision, false-positive rates and baseline benchmarking … scholarly communications Experience with modern data transformation tooling such as Dataform or dbt Experience developing classification or machine learning models for user behaviour analysis, anomaly detection or segmentation Experience measuring the impact of external platforms on traffic, engagement, discoverability and commercial outcomes ...

DoingDesign and deliver the data products that make Azure cost visible and attributable across ASOS, including cost and usage pipelines, allocation and showback models, anomaly detection and reporting surfaces. Own the cost and usage data platform on Databricks, ingesting Azure Cost Management exports, reservation and Savings Plan ...

huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

APIs. AI Innovation: Identify and implement high-impact opportunities for embedding GenAI and Agentic Workflows into IT Operations for alert analysis, remediation, and data anomaly detection. Governance & Health: Oversee CMDB health maintenance, data normalization, and reconciliation processes to ensure a "self-healing" IT environment. Collaborate: Act as a bridge ...

environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers and anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ...

environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers and anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ...

environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers and anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ...

actionable recommendations that improve customer journeys. Advancing AI-native analytics : Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation — helping the team move faster and deliver more scalable, proactive insights. ...

canary releases, blue/green deployments, feature flags or chaos/game days. Experience developing AI-assisted operations capabilities, such as alert enrichment, anomaly detection, triage support or runbook automation. Key SRE CompetenciesReliability engineering: SLOs, SLIs, error budgets, incident reduction and service health. Production excellence: monitoring, alerting ...

points, digital adoption challenges, and operational inefficiencies. Provide clear, actionable recommendations. Advance AI-native analytics Use Gen AI tools for automated insight generation, summarisation, anomaly detection, and workflow optimisation. Support experimentation & continuous improvement Analyse A/B tests and digital experience performance, quantifying customer and business impact. ...

actionable recommendations that improve customer journeys. Advancing AI-native analytics : Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation — helping the team move faster and deliver more scalable, proactive insights. ...

seabornAWS (boto3, S3/Parquet), Docker, Kubernetes, CI/CDSecrets/auth (JWT, cryptography, proxy handling); testing with pytestData Science/AnalyticsApplied statistics for anomaly detection (rolling median + MAD z-score, thresholds); scipy a plusTime-series thinking: daily/weekly/monthly frequency-aware baseliningTurns ...

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 ...