13 of 13 Anomaly Detection Jobs in the South East

machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. Ensure enterprise data integrity, validation, documentation, and governance. Platform & Software Engineering Write production Java and Python code across our evolving platform stack — from data ...

approaches, and land insight in a way that drives action. Apply machine learning, analytics and reporting to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting. Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering ...

Automated fault detection, Root cause analysis, Dynamic RF optimisation, Automated channel selection, Automated power adjustments, Client steering, Service assurance automation, Network anomaly detection Experience leveraging machine learning and analytics to improve user experience, wireless performance, service availability and operational resilience. Ability to define architectures that ...

identify opportunities for analysis, modelling or product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery ...

other motorsports series. Our software combines many capabilities, including data capture, visualisation and modelling of real time and historic data for detailed analysis, reporting, anomaly detection and enabling the best strategic decisions to be made. Through clean and consistent coding, you will contribute to optimise our methods ...

ownership and exposure to cutting-edge technologies. The Role Build scalable data pipelines using Microsoft Fabric and Databricks Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction Work with structured, semi-structured, and document-heavy datasets Create reusable data assets and analytical products ...

operational efficiency. Design and implement observability platforms to effectively monitor system health, performance, and reliability. Develop strategies for AI-driven alerting and proactive anomaly detection to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR). Establish and enforce SRE best practices, including Service ...

Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions. Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows. Excellent communication skills, with experience collaborating across technical, investment ...

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. ...

time series, geo-referenced time series, maps and geo-referenced survey data. Producing standard mobility reports and indicators, and interpreting what they show. Anomaly detection and data cleaning, including spotting artefacts caused by network changes rather than real movement. Combining sources: mobile operator data, survey data, spatial ...

near-real-time data flows. Shape the architecture for AI-enabled Financial Crime capabilities, including alert optimisation, investigation summarisation, adverse media triage and anomaly detection. Ensure AI and data capabilities are explainable, auditable and appropriate for a highly regulated environment. Establish architecture standards across security, resilience, data lineage, model ...

inform prioritization and roadmap adjustments. Leverage AI tools to accelerate requirements analysis, documentation, and issue triage; identify opportunities to apply AI within validation, anomaly detection, and exception handling to improve customer outcomes. What You Need To Succeed 5+ years of product management experience delivering enterprise software; experience ...

cases in weeks, not quarters. AI-driven forecasting and scenario modelling, automated reporting and commentary, close and reconciliation workflows, and collections, risk and anomaly detection. Build and own the technical stack: select the minimum viable, maximum scalable architecture. Make strong calls on ERP vs lightweight tooling, build ...