8 of 8 Anomaly Detection Jobs in the South East

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 ❯

with a global financial asset manager on a key leadership hire - an Engineering Lead to spearhead the design, development, and modernization of cutting-edge transaction monitoring and fraud detection systems. This is a rare opportunity to lead a high-performing team and shape the future of fraud prevention and financial crime technology within one of the world's … business evolves. Key Responsibilities: Lead and develop a cross-functional team of engineers, fostering a culture of trust, inclusion, and technical excellence. Architect and deliver a bespoke fraud detection and transaction monitoring platform using modern cloud and data technologies. Collaborate closely with product, data science, and financial crime experts to define the technical strategy and vision. Champion engineering … engineering and automation TypeScript, Node.js, React.js for full-stack development Solid grasp of distributed systems design, secure coding, and data privacy principles. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Experience with modern DevOps practices (CI/CD, Terraform, CloudFormation). If you have the skills and experience required and you're More ❯

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £160,000+ - 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 their engineering … 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 ❯

churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting More ❯

engagement management, stakeholder management, and business development. Mastery of enterprise architecture components, business/IT principles, and organisational processes. Experience applying AI/ML across corporate functions (e.g., financial anomaly detection, HR attrition prediction, procurement spend analytics). Competencies Exceptional analytical, planning, and organisational capabilities, with strong situational awareness and political acumen. Balances long-term strategic vision More ❯

energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the “mission control” for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working with some of the world’s leading industrial organisations, this platform is central to our More ❯

You'd join the business at a very early stage which is uniquely positioned for rapid growth! What You'll Do Build, validate, and monitor machine learning models for anomaly detection and failure prediction. Analyze sensor data and operational logs to support predictive maintenance strategies. Develop and maintain data pipelines using tools like Apache Airflow for efficient More ❯

Knowledge of products such as Arbor, Radwhere, Riverbed, A10, ExtraHop Familiarity with security audits, RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring, with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands-on experience with tools like Wireshark More ❯