51 to 75 of 80 Anomaly Detection Jobs in England

Scotland - United Kingdom Type: Permanent Senior SOC Engineer A leading organisation is seeking a Senior SOC Engineer to strengthen its security operations capability and drive continuous improvement across detection, response, and automation. This pivotal role requires deep expertise in IBM QRadar, with a strong focus on playbook development, analytical rule creation, and threat modelling. The Senior SOC Engineer … will play a key role in building and optimising detection and response strategies, ensuring robust protection against evolving threats. Key Responsibilities SIEM Engineering & Management … Deploy, configure, and maintain the QRadar SIEM platform. Onboard and normalise log sources across on-premises and cloud environments. Develop and optimise analytical rules for threat detection, anomaly detection, and behavioural analysis. Playbook Development & Automation Design and implement incident response playbooks for scenarios such as phishing, lateral movement, and data exfiltration. Integrate playbooks with SOAR More ❯

Scotland - United Kingdom Type: Permanent Senior SOC Engineer A leading organisation is seeking a Senior SOC Engineer to strengthen its security operations capability and drive continuous improvement across detection, response, and automation. This pivotal role requires deep expertise in IBM QRadar, with a strong focus on playbook development, analytical rule creation, and threat modelling. The Senior SOC Engineer … will play a key role in building and optimising detection and response strategies, ensuring robust protection against evolving threats. Key Responsibilities SIEM Engineering & Management … Deploy, configure, and maintain the QRadar SIEM platform. Onboard and normalise log sources across on-premises and cloud environments. Develop and optimise analytical rules for threat detection, anomaly detection, and behavioural analysis. Playbook Development & Automation Design and implement incident response playbooks for scenarios such as phishing, lateral movement, and data exfiltration. Integrate playbooks with SOAR More ❯

Scotland - United Kingdom Type: Permanent Senior SOC Engineer A leading organisation is seeking a Senior SOC Engineer to strengthen its security operations capability and drive continuous improvement across detection, response, and automation. This pivotal role requires deep expertise in IBM QRadar, with a strong focus on playbook development, analytical rule creation, and threat modelling. The Senior SOC Engineer … will play a key role in building and optimising detection and response strategies, ensuring robust protection against evolving threats. Key Responsibilities SIEM Engineering & Management … Deploy, configure, and maintain the QRadar SIEM platform. Onboard and normalise log sources across on-premises and cloud environments. Develop and optimise analytical rules for threat detection, anomaly detection, and behavioural analysis. Playbook Development & Automation Design and implement incident response playbooks for scenarios such as phishing, lateral movement, and data exfiltration. Integrate playbooks with SOAR More ❯

Data Analytics: Implement data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to … data warehousing, data lakes, and data pipeline design for large-scale data integration and storage. Familiarity with machine learning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications. Geospatial Intelligence & Data Analysis: Strong understanding of geospatial concepts and techniques (e.g. More ❯

requirements for critical assets. Analyse and extend Dynatrace coverage across complex applications. Configure, optimise, and automate monitoring within the Dynatrace toolset. Provide AI-driven insights (via Davis AI) for anomaly detection, root cause analysis, and proactive recommendations. Support operational resilience by embedding observability standards and best practices. Engage in workshops with third-party suppliers to review and … improve observability standards. TECH STACK/REQUIREMENTS Strong expertise in Dynatrace (SaaS & On-Premises) including: Application Performance Monitoring Anomaly Detection Profiles Alerting Rules & Profiles Synthetic & Log Monitoring Real User Monitoring (RUM) DQL & Grail for advanced data analytics API integrations with complex systems Experience working in resilience/observability engineering. Strong communication skills and ability to work in More ❯

million investors worldwide. About the Role We are seeking a highly skilled and motivated Technical Lead to drive the development and modernization of our transaction monitoring and fraud detection systems. You will lead a cross-functional engineering team focused on building scalable, secure, and intelligent solutions to detect and prevent fraud and money laundering across our global platforms. … systems that detect and prevent fraudulent activity across Vanguard's platforms to protect clients and assets. Key Responsibilities Lead the design, development, and deployment of a bespoke fraud detection and transaction monitoring system. Collaborate with stakeholders and financial crime experts globally to define a technical vision and strategy for the platform. Architect scalable and robust cloud solutions using … TypeScript and React (frontend development). Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as-code tools (e.g. More ❯

runtime-isolated, reproducible models that are easy to deploy, monitor, and update without connectivity. Work closely with data scientists to define clear KPIs and success criteria-such as detection accuracy, latency, false positive/negative rates, explainability, and robustness-to determine what constitutes a production-grade, releasable model. Align model performance goals with the operational realities of the … and stakeholder management skills. Comfortable working in a fast-paced, iterative, and agile environment. Preferred Experience: Solid understanding of cyber security concepts such as threat detection, SIEM, anomaly detection, and incident response. Experience with tools for tracking ML models in production (e.g., MLflow). We encourage you to apply even if your experience is not More ❯

expected to use AI tools where possible to help explore, analyse and transform data. What Youll Do Build Data Products & Algorithms: Prototype and refine predictive models (e.g., compliance forecasting, anomaly detection, NLP-based feedback analysis). Embed solutions into client dashboards and intelligent tools. Actively Participate in Innovation Labs: Lead the data science lifecycle: ideation ? prototype ? pilot. More ❯

and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can't at What you'll achieve As a … analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a … of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data Warehousing/ More ❯

industry certifications (e.g. DAMA CDMP, DCAM, etc.) Keen interest and familiarity with generative AI frameworks. Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection. Past project experience using the Agile/Scrum project management methodology. Does this sound like you? Apply if you think we're a good match. We'll get More ❯

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just … written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent More ❯

scalability, and reliability. Utilise tools like Alteryx for data transformation and cleansing to improve workflow efficiency. Data Innovation & Automation: Apply AI tools and automation to enhance reporting capabilities, including anomaly detection and performance forecasting. Support the integration of predictive analytics and natural language query tools to facilitate self-serve data access. Enablement & Stakeholder Engagement: Partner with key More ❯

Route Optimization: Use data analytics to identify the most efficient routes. Optimized routing not only shortens travel time but also makes ETA predictions more reliable. 5. Machine Learning for Anomaly Detection: Implement machine learning algorithms to detect anomalies that could affect delivery times, such as unexpected traffic jams or vehicle breakdowns, and adjust ETAs accordingly. 6. Sensor More ❯

Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes. Understanding of event-driven data, behavioral analytics, and anomaly detection methods. Domain Knowledge: Basic understanding of digital identity concepts: SSO, MFA, RBAC and ABAC Knowledge of fraud detection techniques and identity risk indicators is More ❯

Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes. Understanding of event-driven data, behavioral analytics, and anomaly detection methods. Domain Knowledge: Basic understanding of digital identity concepts: SSO, MFA, RBAC and ABAC Knowledge of fraud detection techniques and identity risk indicators is More ❯

analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. More ❯

millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over More ❯

within the SOC, responsible for handling escalations from Tier 1 and Tier 2 analysts and managing the most complex security incidents. You will lead deep-dive investigations, improve detection and response processes, and play a key role in stakeholder engagement. Key responsibilities include: Analysing advanced security incidents, determining root cause and attack paths. Leading incident response activities across … will bring: Significant experience in SOC operations and cyber incident response. Strong knowledge of adversary TTPs and frameworks such as MITRE ATT&CK. Hands-on skills in log analysis, anomaly detection, and incident remediation. Experience working in traditional IT and cloud (Azure and/or AWS) environments. Strong communication skills with the ability to translate technical threats More ❯

within the SOC, responsible for handling escalations from Tier 1 and Tier 2 analysts and managing the most complex security incidents. You will lead deep-dive investigations, improve detection and response processes, and play a key role in stakeholder engagement. Key responsibilities include: Analysing advanced security incidents, determining root cause and attack paths. Leading incident response activities across … will bring: Significant experience in SOC operations and cyber incident response. Strong knowledge of adversary TTPs and frameworks such as MITRE ATT&CK. Hands-on skills in log analysis, anomaly detection, and incident remediation. Experience working in traditional IT and cloud (Azure and/or AWS) environments. Strong communication skills with the ability to translate technical threats More ❯

role in low-latency environments. Experience with network automation tools and frameworks, including Python, Ansible, or similar technologies. Experience leveraging AI/ML-driven tools for network performance optimization, anomaly detection, and predictive analytics. Understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in network automation and monitoring. Experience with telemetry and More ❯

in this role, you must demonstrate extensive experience in designing and configuring within Dynatrace, including: Application Performance Monitoring Proficiency in Dynatrace Query Language (DQL) and Grail for advanced analytics Anomaly Detection Profiles Alerting Rules and Alert Profiles Synthetic Monitoring Log Monitoring Real User Monitoring (RUM) API integration of Dynatrace with external systems Ideally, you will have Davis More ❯

objective of the role is to lead a global team that coordinate exceptional Services response to major technology events (planned or unplanned), team responsibilities encompasses oversight of 24x7 service anomaly detection for over 90 critical end to end flows ensuring adherence to regulatory mandated Critical Business Services (CBS) and a heightened focus on a subset of Platinum More ❯

Testing Plan and Execution DataOps practices (CI/CD for schema) Query tuning & execution plan analysis Governance, auditing, and compliance enforcement Working with developers to write scalable SQL Proactive anomaly detection using Query Store or Extended Events QUALIFICATIONS/SKILLS/ATTRIBUTES REQUIRED BY JOB HOLDER: Bachelor's or Master's degree in Computer Science, Information Technology More ❯

high-growth environment. Key Responsibilities Develop and deploy computer vision models, with a focus on image classification and quality scoring Apply machine learning techniques such as supervised learning and anomaly detection to visual data problems Work with large-scale, complex image datasets to create production-ready solutions Collaborate cross-functionally to ensure models are effectively integrated and More ❯

transparency FinOps Tools Deployment – Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting – Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection – Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation – Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education More ❯