126 to 150 of 173 Anomaly Detection Jobs in the UK

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 ...

programs. Develop solution blueprints, process maps, fit-gap analysis, and cross‐functional integration designs. Embed AI capabilities such as demand forecasting, stocking optimization, anomaly detection, and intelligent replenishment into solution designs. Contribute to Manufacturing solution design if experience in Production Control, Shop Floor, Lean/Process manufacturing … supply chain capabilities such as predictive demand planning, intelligent safety stock/replenishment, machine‐learning insights on warehouse or logistics performance, and exception or anomaly detection. Familiarity with Copilot, Azure AI, or responsible AI frameworks. Comfort using AI accelerators for requirements definition, documentation automation, and test case generation. Consulting ...

interest or background in data science, machine learning, statistical analysis, or natural language processing is a plus — especially as applied to behavioral analytics and anomaly detection — but this is primarily a software engineering role, and we’re looking for engineers who are comfortable applying these techniques ...

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 ...

fast-growing Kubernetes fleet. Define network infrastructure as code with Terraform. Support and harden Azure Entra ID integration and authentication. Use AI for anomaly detection, alerting, and automated runbooks. Partner with the Kubernetes and product engineering teams. Lead deep dives on complex networking issues. What ...

reserve diagnostics.Explore Modern Analytics and AIWork with actuarial, data science, and AI colleagues to explore where modern analytics can support reserving analysis, scenario exploration, anomaly detection, and clearer explanation of key drivers.Promote practical and responsible use of AI and analytics, with a focus on improving speed, transparency ...

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 ...

feature releases; run impact assessments, regression testing, and stakeholder communications.Innovation and AI: Champion Workday’s innovation roadmap; evaluate AI/ML features for reconciliation, anomaly detection, and forecasting in line with Kyriba Finance objectives.Analytics: Enable reporting and dashboards using Workday Report Writer/Composite, Prism Analytics ...

technical specificationsInfrastructure & Systems:Architect secure AI infrastructure (cloud, on-prem, hybrid)Design model registry, versioning, and deployment systems with security controlsImplement monitoring, logging, and anomaly detection for AI systemsOversee secure data pipelines and feature storesDesign isolation and sandboxing for high-risk AI workloadsRisk & Threat Mitigation:Conduct threat ...

runtime controls.Model-Driven Incident Response: Act as the primary technical expert for AI security incidents, deploying advanced machine learning techniques to automate threat hunting, anomaly detection, and signatureless mitigation specific to LLMs.Compliance & Governance Automation: Bridge the gap between complex AI architectures and emerging global regulations (e.g. ...

Rails codebases is required. As a senior engineer on the Trust and Safety team, you will predictively identify abuse patterns and trends and build anomaly detection and prevention systems to mitigate abusive users and their activities. This role is an ideal fit for candidates with software engineering … cases.About the teamTrust and Safety is a global team tasked with keeping abusive behaviors off of GitLab.com. The team relies on automations, LLM aided anomaly detections, and user behavior analysis to proactively detect and prevent abuse on the Gitlab platform. The Trust and Safety team closely collaborates with peer ...

apply data science, ML, and graph analytics to autonomous network operations. You will work with telemetry, topology, and service data to build KPI models, anomaly detection, and predictive analytics. Ideal candidates have strong Python, statistics, and BigQuery skills, plus experience with telecom domains such as RAN/ ...

across a regulated financial-services estate. This strategy-led, hands-on role defines the AI/ML roadmap and builds production-grade models for anomaly detection, forecasting, and risk monitoring. You will partner with engineering, data platform, and product teams to take models from problem definition through ...

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 ...

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 ...

over 4 million members. Working within a small, high-impact Data Science team, you'll develop models across retention, CLV, recommendations, search, forecasting and anomaly detection, partnering closely with Product, Marketing, CRM and Finance. The Role Build retention, churn and CLV models Develop recommendation and search algorithms ...

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 ...

operations teams.Implement FinOps capabilities: Cost allocation & chargeback/showbackBudgets, forecasting, unit economicsTagging & metadata standardsDiscount strategy (Committed Use Discounts, RIs, Savings Plans)Cloud cost anomaly detection and reportingDevelop cost‐efficient architectures including right‐sizing, autoscaling, egress optimization, and storage lifecycle policies.Establish and lead the Cloud Cost Review Board ...

that guide development effortsEvaluate emerging technologies and recommend strategic improvements to enhance data acquisition capabilities and overall platform performanceDevelop innovative approaches to data profiling, anomaly detection, and quality metrics reporting that provide stakeholders with comprehensive visibility into data health and lineageEstablish and maintain documentation standards, best practices ...

pipeline, automated testing, and deployment.We are serious about the quality of our production operation, and have thorough system, application, and user interaction monitoring and anomaly detection.We are passionate about data-driven decision-making.Our teams are integrated, with developers, product managers, designers, and data scientists working side-by-side.And, dogs ...

industrial networks for the energy and critical infrastructure sector. Responsible for analysing industrial network traffic, tuning monitoring solutions, and supporting incident handling and detection improvement activities. The role requires strong knowledge of SCADA/DCS environments, industrial protocols, OT security monitoring technologies, and IIoT architectures, working closely with … industrial facilities.Retune probes to correct misinterpretation of legitimate industrial traffic and reduce false positives.Refine and customize detection rules to improve the anomaly detection capabilities of monitoring solutions.Support incident handling phases during cyberattacks for systems under the maintenance agreement.Provide expertise in industrial network architectures, SCADA/ ...

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 ...

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 ...