26 to 50 of 63 Anomaly Detection Jobs in the UK excluding London

software delivery lifecycle. Familiarity with OpenTelemetry, automation, Infrastructure as Code and modern engineering practices. Knowledge of AI-powered operations (AIOps), operational intelligence, event correlation, anomaly detection, and emerging AI capabilities within operations platforms. Ability to define how Generative AI, AI assistants and intelligent operational workflows can enhance ...

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 ...

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 ...

Comfortable working with both technical and non-technical audiences. Excellent stakeholder management and influencing capabilities. Desirable Experience Experience building automated monitoring and alerting systems. Anomaly detection and predictive analytics experience. Mobile attribution platform experience. Marketing performance analytics expertise. Mobile gaming industry experience. Experience supporting User Acquisition teams. ...

perfectly defined requirements. 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 ...

perfectly defined requirements. 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 ...

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 ...

dependencies and decisions to Project Managers, customers and relevant stakeholders. AI and Automation: Use approved AI tools and automation techniques to support data profiling, anomaly detection, mapping recommendations, transformation activities and quality checks. Validate outputs through appropriate human review and comply with organisational data security and governance ...

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 ...

perfectly defined requirements. 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 ...

optimisation initiatives by helping analyse resource utilisation, configuration efficiency, tagging hygiene, and commitment strategies. Advanced Analytics Support: Assist in producing usage trend analysis, anomaly detection, forecasting support, and cost modelling for customer accounts. Reporting & Dashboards: Prepare and maintain financial reports, dashboards, optimisation summaries, and KPI metrics ...

optimisation initiatives by helping analyse resource utilisation, configuration efficiency, tagging hygiene, and commitment strategies. Advanced Analytics Support: Assist in producing usage trend analysis, anomaly detection, forecasting support, and cost modelling for customer accounts. Reporting & Dashboards: Prepare and maintain financial reports, dashboards, optimisation summaries, and KPI metrics ...

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 ...

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 ...

/4 and ecosystem applications (APIs, events, SLT/CDC, iPaaS/BTP). Prioritise AI use cases (forecasting, ATP optimisation, document AI, anomaly detection). Define ML data contracts and embed models in operational processes (Fiori, SAC). Establish MLOps foundations: pipelines, CI/CD, monitoring ...

users. Our AI solutions incorporate applications across the AI and machine learning spectrum, including but not limited to time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities. Primary Duties ...

projects and human resources. Communicate the value of Industrial AI, automation and intelligent workflows in improving finance and operational decision‐making, productivity, forecasting and anomaly detection. Work closely with Sales, Product Management, Presales and Consulting teams to progress opportunities and deliver value led customer engagements across the UK region. ...

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. ...

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 ...

manufacturing or process industries. • Knowledge of chemometrics, including PLS, PCA, spectral preprocessing or calibration development. • Experience with spectroscopy or analytical instrumentation. • Time-series analytics, anomaly detection or industrial process optimisation. • Familiarity with Azure-based data and analytics environments. The Person We're Looking For We value potential ...

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 ...

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 ...

Things (IoT) security threats. The post forms part of SAZT-Wi-Fi (Spatial-Aware Zero-Trust Platform for Shadow Wi-Fi IoT Threat Detection), an Innovate UK-funded project developing a standalone, plug-and-play cybersecurity proof of concept for critical infrastructure. About Luton AI Luton … Computer Science, Cybersecurity, AI, Data Science, Electronic Engineering or a related discipline. Strong Python software development skills and knowledge of machine learning for anomaly detection or classification. An understanding of Wi-Fi/network telemetry and cybersecurity, with practical experience analysing wireless or network data. Experience developing ...