12 of 12 Remote/Hybrid Anomaly Detection Jobs in the UK excluding London

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 ...

service provisioning.Lead SAP technical architecture decisions for hybrid and cloud-native environments (RISE, hyperscalers).Drive adoption of AIOps for SAP operations (predictive monitoring, anomaly detection, auto-remediation).Implement automation for repetitive BASIS operations (system health checks, patching, job management).Leverage AI/ML tools for incident prediction ...

driven decisions . Implement feedback loops to continuously improve model performance . AI-Driven SRE Enablement Develop ML/AI models for anomaly detection, incident prediction, and root cause analysis across distributed systems . Implement intelligent alerting systems to reduce noise and improve signal fidelity . Build ...

telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries, OPA policies ...

world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science outputs Experience ...

world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science outputs Experience ...

/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 ...

modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. What This Role Is Not:This is not a role ...

modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. You will be one of the engineers who makes that … real. What You Will Work On Autonomous Operations:Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stationsDrive elimination of manual processes. If a human is doing it repeatedly, automate it.Build space situational awareness systems so the fleet always knows its own stateDevelop ...

enough in the Klario narrative to create demand from cold. Articulate the AI value proposition Translate Klario's AI capabilities, predictive change intelligence, automation, anomaly detection, into clear business value for both technical and executive buyers. The strongest deals in this market are won by sellers ...

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 ...

technology vendors.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 a clear, phased … teams to 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, chargebackreduction, and loss prevention.Provide structured updates to senior stakeholders and governance forums.Monitor platform performance, risks, costs and scalability considerations.Coach and develop ...