26 to 50 of 53 Anomaly Detection Jobs in the UK excluding London

cost. Leverage AIOps and observability tools (e.g. Dynatrace, Datadog, New Relic, Elastic) to proactively monitor service health and performance. Utilise predictive alerting and anomaly detection to prevent incidents and optimise delivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication ...

managing a small team. Experience building or centralising a support function, including defining process and tooling. Familiarity with AI tooling for operations – log analysis, anomaly detection, or LLM‐based triage. Background in financial services, market data, or a regulated technology environment. Exposure to cloud platforms (Azure ...

large remit, and we expect AI-assisted development to be embedded in how we work Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring Stay current with AI developments in the data engineering space and bring new approaches into the team ...

SLAs, KPIs, scope, and cost. Leverage AIOps and observability tools (e.g.Dynatrace, Datadog, New Relic, Elastic) to proactivelymonitorservice health and performance. Utilisepredictive alerting and anomaly detection to prevent incidents andoptimisedelivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication Act as the primary ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real-time cost-anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

significant scope for ownership, innovation and career development. Key Responsibilities Design and deliver AI solutions using Microsoft Azure, including RAG, data classification, forecasting and anomaly detection. Identify opportunities to introduce AI into existing business processes and systems. Integrate AI solutions with Microsoft 365, SharePoint, Teams, Entra ID, SQL databases … with Retrieval-Augmented Generation (RAG). Knowledge of vector databases. Experience with AI frameworks such as Haystack, LlamaIndex or Semantic Kernel. Experience with forecasting, anomaly detection or data classification. Knowledge of CNC, manufacturing, construction or other industrial environments would be advantageous but is not essential. Understanding ...

sign‐in logs, to support investigations, identify trends and improve security. Support AI and data‐led IAM initiatives, including identity analytics, access risk reduction, anomaly detection and intelligent access reviews. Work closely with Engineering, Product, Security and wider stakeholders to deliver technical tasks and milestones in line ...

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. ...

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 analyzes data from thousands of sensors, turning it into precise, actionable insights that drive smarter decisions. About the role StormHarvester ...

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 ...

proven ability to optimize model performance for accuracy and efficiency Excellent product intuition, keen eye for design and customer pain point awareness Experience developing anomaly detection and causal inference models At Apple, base pay is one part of our total compensation package and is determined within ...

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 ...

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 ...

packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality ...

adoption across sites Lead identification, prioritization, and delivery of high‐value AI and advanced analytics use cases for the shop floor (e.g., predictive maintenance, anomaly detection, quality insights, loss intelligence) Partner with OT/IT/Digital teams to integrate SAP S/4HANA with shop floor ...

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 ...

drop-off alerts. Design and implement real-time revenue monitoring dashboards tracking deposit/withdrawal volumes, payment gateway health, and transaction success rates with anomaly detection against expected baselines. Build revenue impact calculation models for use during major incidents, enabling the team to quantify business impact … including threshold tuning, correlation rules, suppression logic, and noise reduction techniques. Experience building business‐level monitoring including revenue dashboards, customer journey tracking, and transaction anomaly detection. Ability to translate technical metrics into business impact language for executive stakeholders. Strong analytical skills with experience in defining KPIs, setting baselines ...

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 ...

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 ...

reliable systems — but wants to use AI to make them more reliable. If you're already experimenting with AI for incident response, anomaly detection, or toil reduction, we want to talk. This isn't a "keep the lights on" SRE job. We're building the infrastructure that ...

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 ...