126 to 150 of 154 Anomaly Detection Jobs in the UK

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 ...

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 ...

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 ...

store customer behaviour LLM-powered tools that support customers and store teams What you’ll do Build, train, and deploy models for forecasting, recommendations, anomaly detection, and more. Design and ship LLM-powered features — assistants, document and image processing. Take models all the way to production: serving ...

with ML model serving and feature engineering.Strong ownership and independent execution.Working knowledge of DevOps and secure engineering.Preferred ExperienceLLMs, embeddings, or vector databases.Behavioural, graph, or anomaly detection models.dbt, Snowpark, or Snowflake ML.Working for you:We offer a range of benefits to support your wellbeing and life outside work ...

Amazon services? Or attacks that could potentially lead to a widespread data breach? Do you know how to generate activity-based intelligence (ABI) through anomaly detection? In Security Products we build Access Policy Management systems to enable all Amazon teams to apply FGAC to their sensitive data. … that apply context based authorization to solve the problem of over-permissioning. We apply Machine Learning Techniques in our Monitored Access (MA) abuse detection program to preemptively detect and mitigate internal and external malicious actors. We do this to protect Amazon customer, seller, vendor and employee information across ...

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 ...

detection, incident response, and vulnerability management end‐to‐end Monitor, triage, and respond to security events across the environment, including log analysis, anomaly detection, and threat hunting, with a strong awareness of modern and AI‐enabled attack vectors Own and drive security hardening across ...

threat detection, incident response, and vulnerability management end-to-endMonitor, triage, and respond to security events across the environment, including log analysis, anomaly detection, and threat hunting, with a strong awareness of modern and AI-enabled attack vectorsOwn and drive security hardening across all infrastructure ...

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 ...

across global ERP 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.(Optional) Contribute to Manufacturing solution design if you have experience in areas such as Production ...

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 ...

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 ...

AIOps roadmap, translating complex operational needs into concrete product requirements and backlog items. You will lead high-impact capabilities like noise reduction, event management, anomaly detection, and proactive remediation, partnering across IT Ops, SRE, and security to scale adoption. You will define success metrics for alert quality ...