151 to 173 of 173 Anomaly Detection Jobs in the UK

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 ...

depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmesProficiency in signal processing and anomaly detection techniques to interpret physiological and behavioural dataResearch skills, as evidenced by a track record in high-quality academic journal publications and/ ...

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 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 ...

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 ...

easy to hand over or build on.AI-Powered WorkflowsEmbed AI into the automations you build, for example around content drafting, data enrichment, summarisation, or anomaly detection.Keep an eye on new AI tools and techniques that could be built into marketing workflows, and bring ideas forward.Track and communicate the impact ...

Vetting (DV) UK security clearance. Preferred qualifications: Certifications in Security (e.g., GSEC, CISSP, CISM, OSCP). Experience with Kubernetes threat detection and anomaly detection. Experience with service mesh security concepts (e.g., Istio, Linkerd) and workload identity. Experience in detection engineering, logging pipeline development, or SIEM … Kubernetes-based environments. You will 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. In this role, you will require deep technical expertise in cloud environments, Kubernetes security, and platform automation. ...

Deploy, configure, and manage cloud security platform tools and technologies, including Security Information and Event Management (SIEM), Intrusion Detection/Prevention Systems (IDS/IPS), and Cloud Workload Protection Platforms (CWPP).Develop and implement security monitoring and logging strategies.Investigate and analyse security incidents, including identifying root causes, determining … Developed Vetting (DV) UK security clearance.Preferred qualifications:Certifications in Security (e.g., GSEC, CISSP, CISM, OSCP).Experience with Kubernetes threat detection and anomaly detection.Experience with service mesh security concepts (e.g., Istio, Linkerd) and workload identity.Experience in detection engineering, logging pipeline development, or SIEM tuning in containerised ...

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 ...

Monitor and evaluate emerging IAM trends (e.g., passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response (ITDR) solutions. ...