17 of 17 Permanent Anomaly Detection Jobs in London

and optimize data pipelines to ensure performance and cost efficiency. Implement data governance, access controls, and security measures in line with best practices and regulatory standards. Develop observability and anomaly detection tools to support Tier 1 systems. Work with engineers and business teams to gather requirements and translate them into technical solutions. Maintain documentation, follow coding standards … technical and non-technical teams. Additional Strengths Experience with orchestration tools like Apache Airflow. Knowledge of real-time data processing and event-driven architectures. Familiarity with observability tools and anomaly detection for production systems. Exposure to data visualization platforms such as Tableau or Looker. Relevant cloud or data engineering certifications. What we offer: A collaborative and transparent … Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub Actions, Jenkins, etc.)? Select Which option best describes your experience building observability and automated anomaly detection tooling for data pipelines? Select What best describes your current location and working rights status? Select By submitting your application, you confirm that you have read More ❯

and network expansion. Partner with commercial and product stakeholders to embed data into every stage of the sales, account management, and network growth processes. Build models for customer segmentation, anomaly detection, forecasting, fraud/risk scoring, and identifying growth opportunities in existing and untapped markets. Turn data into actionable insights, proactively and persuasively translating data into meaning … drive decisions. Nice-to-Haves Experience with forecasting models for revenue, client growth, and network activity. Familiarity with data visualization tools like Tableau. Exposure to fraud detection, anomaly detection and pattern recognition modeling. 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 ❯

false positive rate, coverage completeness). Stand up monitoring processes and integrate telemetry sources across SIEM, EDR, identity, network, and cloud platforms. Ensure monitoring outputs are actionable, enriching detection and response activities and informing risk and compliance stakeholders. Technical Architecture & Integration Design and implement a continuous monitoring reference architecture, leveraging SIEM, SOAR, UEBA, and threat intelligence. Establish enterprise … MTTR, false positive rates, and coverage completeness. Familiarity with frameworks like NIST CSF, MITRE ATT&CK, and ISO 27001, with experience applying these to monitoring. Experience in threat hunting, anomaly detection, and behavioral analytics. Strong leadership skills: able to recruit, mentor, and develop a high-performing team in a newly established function. Executive presence: able to present … identify control gaps and inform improvements. Translates complex monitoring outputs into actionable insights for stakeholders across IT, Risk, and Security. Innovates in detection methodologies, leveraging behavioral analytics, anomaly detection, and adversary simulations. Acts as a problem-solver during incidents, ensuring monitoring outputs guide rapid containment and response. Effectiveness & Value Creation Leads the build-out of 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

applications - ideally GCP, Azure or AWS You have external or internal consulting experience You have knowledge of host hardening, auditing, logging and monitoring, network security, SEIM deployments, security analytics, anomaly detections, PKI You have proven implementation of cloud security models, particularly identity, network, and encryption You have demonstrated understanding of Microsoft security technologies and strategy You have program management 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯