26 to 48 of 48 Anomaly Detection Jobs in the UK excluding London

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 ...

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

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 ...

contribute to a forward-thinking, collaborative environment.The Data Scientist will be responsible for building and deploying machine learning models to support personalisation, recommendations, anomaly detection, and data insights. The role involves working within modern ML Ops practices and leveraging AI-powered development tools to increase efficiency … scale.Key ResponsibilitiesDevelop and deploy machine learning models for various use cases including personalisation and anomaly detectionImplement ML Ops practices including monitoring, continuous integration, and automated retrainingUse AI-assisted development tools such as Cursor and Copilot to enhance productivityCollaborate with engineers, DevOps, and leadership to ensure robust data pipelines ...

/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 ...

team on a 6-month fixed-term contract. This role will play a key part in enhancing and maturing our security monitoring and detection capabilities. The Role As a Security Engineer, you will focus on strengthening and optimising our Security Information and Event Management (SIEM) platform. You will … Design and implement detection use cases aligned to frameworks such as MITRE ATT&CK Build and tune correlation rules, alerts, dashboards, and anomaly detections Continuously improve detection quality and reduce false positives SOC & Incident Response Support Partner with SOC analysts to refine detection ...

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 ...

architecture, multi-region resiliency, backup/restore, failover, and recovery testing.Experience with observability tools and practices, including centralized logging, metrics, distributed tracing, synthetic monitoring, anomaly detection, and alert rationalization.Experience leading technical design reviews, architecture governance, resiliency reviews, operational readiness assessments, and production certification activities.Ability to influence senior ...

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 ...

initiatives and high-impact business challenges. The Role Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting Develop anomaly detection solutions to identify issues impacting customer journeys and performance Design and evaluate experiments, including A/B testing Partner with Product ...

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 ...

Client Location: Edinburgh Salary: £60,000 to £70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine … future platform expansion by demonstrating that models can be adapted across different applications and use cases Develop model-driven features such as confidence scoring, anomaly detection, and on-device adaptation logic Must-Haves 5+ years of applied experience in data science or machine learning engineering roles Strong ...

trends) to 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 client outcomes.What you need to succeed5+ 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 powers ...

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 ...

sustaining profitable client relationships.Desirable Requirements Experience applying AI, Machine Learning, or data-driven analytical techniques to hydraulic engineering problems (e.g. hybrid CFD–ML modelling, anomaly detection in pressure monitoring data, automated calibration). Published author of technical journal articles, design guides, or industry reports in pressure surge ...

Engineer and play a pivotal role in defending clients against evolving cyber threats. You will leverage your expertise in SIEM platforms, threat detection, and incident response to strengthen security operations center (SOC) capabilities. Collaborating with cross-functional teams, you’ll develop automated playbooks, engineering use cases, and deploying … from cloud and on-premises environments for seamless monitoring.Develop and continually refine SIEM rules and queries for use cases involving advanced threat behaviors and anomaly detection. Playbook Automation & Incident Response Design and implement incident response playbooks for threats such as phishing, lateral movement, malware infections, and more.Integrate response automation ...

internal governance, audit, and regulatory reviews. Evaluate the suitability of existing observability platforms and recommend improvements where required. Assess opportunities to improve automation, anomaly detection, service health monitoring, and predictive alerting. Define standards and best practices for observability across future migration phases. Work closely with Infrastructure Architects ...

governance, audit, and regulatory reviews. Platform Improvement Evaluate the suitability of existing observability platforms and recommend improvements where required. Assess opportunities to improve automation, anomaly detection, service health monitoring, and predictive alerting. Define standards and best practices for observability across future migration phases. Stakeholder Collaboration Work closely ...

Kubernetes-based environments. You'll be at the intersection of security and engineering, developing scalable tooling, automating security controls, and enabling robust detection and response capabilities across our cloud infrastructure. This is a hands-on, engineering-centric role that requires deep technical expertise in cloud environments, Kubernetes security … improve efficiency and effectiveness. Preferred Qualifications (PQs) Certifications in Security (e.g., GSEC, CISSP, CISM, OSCP). Experience with Kubernetes threat detection and anomaly detection. Familiarity with service mesh security concepts (e.g., Istio, Linkerd) and workload identity. Background in detection engineering, logging pipeline development, or SIEM ...