18 of 18 Remote/Hybrid Anomaly Detection Jobs in the UK excluding London

Collaborate with engineering and business stakeholders to identify performance trends, operational opportunities, and actionable insights. Create data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational … Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices ...

such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. … such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. ...

platform is adaptable to evolving global compliance standards. AI & Automation Integration:Apply knowledge of AI/ML concepts to explore and implement intelligent automation, anomaly detection, or data classification solutions within the regulatory reporting pipelines. Hands-On Development: Write clean, robust, and testable code using Java ...

deploying machine learning models for risk scoring, compliance prediction, churn analysis and contractor performance analytics Building and deploying LLM-based solutions for text analytics, anomaly detection and automated compliance checks Working with Engineering and Product teams to integrate models into production environments across AWS and Azure Using ...

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 ...

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 ...

measure platform KPIs including ingestion reliability, data quality, latency, availability, scalability, platform adoption, and cost efficiency. Drive AI‐enabled observability initiatives leveraging telemetry intelligence, anomaly detection, root cause analytics, automation, and operational insights. Manage vendor relationships and technical partnerships across observability, analytics, security, and cloud platform ecosystems. ...

governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into actionable insights. Prototype and assess new architecture methods, tools ...

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 ...

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. ...

defined requirements. Desirable Experience with time-series techniques such as ARIMA, exponential smoothing or related forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience ...

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 ...

Site Reliability Engineering (SRE) maturity, embedding monitoring, observability, automated testing and structured incident response Drive adoption of automation and AI‐enabled tooling to improve anomaly detection, incident management, vulnerability management and operational efficiency Provide technical oversight of production operations, ensuring alignment between platform standards and operational support ...

TTPs. Produce technical threat reports and briefings to inform security posture and decision-making. Conduct proactive threat hunting based on intelligence-led hypotheses and anomaly detection. Support risk assessments with insights from offensive operations and threat landscape analysis. Personal Specification The below criteria will be scored during Shortlisting ...

Drive platform adoption across Kingfisher banners. Setup and operate platform governance that safeguard payment flows, ensure compliance, and embed robust fraud controls and detection capabilities. Line manage multiple Product Owners. Develop product practices within the product teams. Activities I do to deliver my role: Translate enterprise strategy into … ensure the platform proactively responds to emerging fraud vectors and regulatory requirements. Establish platform guardrails and adoption criteria. Ensure platform capabilities support continuous monitoring, anomaly detection, chargeback reduction, and loss prevention. Provide structured updates to senior stakeholders and governance forums. Monitor platform performance, risks, costs and scalability ...

policy, you will tackle maritime and security problems using time series and image/video data, building and evaluating ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. You will collaborate with developers to integrate outputs into user-facing features and enable ...

pollution before they happen, protecting communities and reducing costs. We are the market leader in this space. At its core, StormHarvester’s advanced anomaly detection system analyses data from thousands of sensors, turning it into precise, actionable insights that drive smarter decisions. About the role ...

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 ...