76 to 100 of 162 Anomaly Detection Jobs in the UK

Operational Resilience Business Analyst (DORA, Systems Monitoring, Anomaly Detection) Resilience Remediation BA - MUFG Contract Type: Day Rate Contract, Inside IR35 via Umbrella PAYE Functional Title: Regulatory Business Analyst Department/Division: Capacity Management & Monitoring/Service Management/Corporate Technology Reports Into: Capacity and Monitoring Manager Office Location: London (near Moorgate Tube) Application Link: https://… is specifically in relation to ICT-related risks and disruption and ensuring digital operational resilience. We are looking for an experienced Business Analyst with experience of Anomalous Activity Detection and Systems Monitoring with a strong focus on ensuring resilience in line with regulation including DORA and Operational Resilience (SS1-21). This role is critical to strengthening our … processes, controls, and practices align with regulatory requirements, helping safeguard our digital platform and maintain compliance across all IT operations. Key Responsibilities Managing workshops to identify Anomalous Activity Detection and Systems Monitoring gaps Mapping of Critical and Important Functions/Important Business Services to existing Systems Monitoring configurations Developing plans to uplift monitoring to meet required regulatory standards More ❯

a primary focus on highly regulated industries like financial services, banking, insurance etc . Your work will directly support critical use cases such as fraud detection, underwriting, anomaly detection , and other risk-sensitive operations. This is a hands-on, strategic role where explainability, model auditability, and operational integration are just as important as accuracy and … in the cloud—ensuring low-latency performance, traceability, and security . Specialization in Regulated Use Cases Design AI solutions for complex applications including fraud monitoring, underwriting, risk scoring, AML, anomaly detection , and financial forecasting. Collaborate with domain experts and compliance teams to incorporate regulatory guardrails and auditability directly into the ML lifecycle. AI Governance & Explainability Leverage and … mission-critical applications where compliance, accuracy, and robustness are key. Hands-on experience in one or more of the following domains is highly valued: → Underwriting, fraud detection, anomaly detection, credit scoring, AML/KYC, operational risk. Technical Proficiency Strong command of Python and experience with ML/DL frameworks such as scikit-learn, PyTorch, TensorFlow More ❯

tailored security solutions that keep them resilient and secure. The Role We are seeking a Security Analyst to join our team and play a key role in threat detection, incident response, and security monitoring. The ideal candidate will have a strong analytical mindset, an understanding of cyber threats and attack techniques, and the ability to implement effective security … up to date with emerging threats, attack techniques, and security technologies . You are proactive, adaptable, and always looking for ways to improve security operations. Key Responsibilities Threat Detection & Security Monitoring Continuously monitor SIEM … IDS/IPS, firewalls, and endpoint security tools to identify suspicious activity. Analyze and correlate security alerts to detect potential cyber threats and data breaches. Perform log analysis and anomaly detection to identify patterns indicative of compromise. Incident Response & Threat Investigation Investigate security incidents, phishing attempts, malware infections, and unauthorized access events. Develop and implement remediation strategies More ❯

will contribute to the development of advanced machine learning models that support a broad spectrum of defence applications, including real-time object detection, multi-sensor data fusion, anomaly detection in complex systems, and predictive analytics for operational readiness. The role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject More ❯

About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large country governments. We've blocked more than 200 million malicious sites and perform takedowns for around one-third of the world's phishing sites. Our purpose, passion, and … should combine deep applied AI/ML expertise , a hands-on and collaborative approach to developing solution architecture, and eventually develop a strong domain knowledge in cyber threat detection and mitigation. The role is highly collaborative, embedding within technical teams to deliver robust, explainable, and impactful AI-based solutions that advance threat detection efficacy and enable … statistical analysis. Massive bonus points if you have experience applying these skills to threat detection, malware analysis, phishing, and/or abuse detection. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Hands-on experience building production -grade AI 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. Regards Chaya More ❯

and scenarios comply with all model governance standards, with detailed metrics and reporting to ensure transparency and effectiveness Identify and evaluate emerging technologies to enhance the Bank's detection capabilities, including internal or vendor solutions Represent the function in regulatory discussions, audits, and internal committees; travel may be required Skills and experience required Relevant experience in financial services … and TS), with experience in platforms like Actimize, Fircosoft, or similar Proficiency in model development languages and tools (Python, SQL, R) Knowledge of machine learning techniques for tuning or anomaly detection is a plus Understanding of sanctions screening, AML risk typologies, and financial crime regulations Support provided Training and development programs Culture of continuous learning and career More ❯

we can shape the future world of print! Role Overview Join our evolving data team at The Printed Group. You'll build and deploy ML models for personalisation, recommendations, anomaly detection, and insights-all while following best practices in ML Ops and leveraging AI-powered tools to boost your productivity. Our Tech Stack Data Pipeline: Data sources … Databricks/Lambda → S3 (Delta format)/Embedded → Reporting/Notifications Infrastructure: AWS cloud managed via Terraform. Responsibilities Develop & Deploy ML Models: Build models that power personalisation, recommendations, and anomaly detection. Implement ML Ops: Set up continuous integration, monitoring, and automated retraining for production models. Leverage AI Tools: Use AI-powered coding assistants (e.g., Cursor, Copilot) to enhance development More ❯

based moderation frameworks for content classification, behavioral detection, and adaptive risk scoring. Continue developing real-time fraud detection pipelines using graph analytics, user profiling, and anomaly detection models. Partner with internal compliance and operations teams to balance automation with precision and policy alignment. 5. Team Leadership & Execution Lead a high-performing ML organization More ❯

metrics & reporting are developed to provide transparency and maintain effectiveness of models Identify and assess new and emerging technologies that can be used to enhance the Bank's detection, through internal or vendor solutions Represent the function in regulatory discussions, audits, and internal committees. Travel likely to be required Your skills and experience Previous relevant experience in financial … Actimize, Fircosoft, or equivalent platforms Strong command of model development languages and tools (such as Python, SQL, R) Familiarity with machine learning techniques in the context of tuning or anomaly detection is a plus Solid understanding of sanctions screening, Anti-Money Laundering (AML) risk typologies, and financial crime regulations How we'll support you Training and development More ❯

team that’s pushing the boundaries of what AI can do. What’s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of More ❯

team that’s pushing the boundaries of what AI can do. What’s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of More ❯

and extend our SaaS backend—designing APIs, managing data models, and maintaining systems that securely store and query large volumes of interaction data. Machine Learning (Python): Contribute to our anomaly detection and real-time risk classification systems. Work on model pipelines that process customer service interactions and surface insights and issues. Infrastructure (AWS/DevOps): Support CI More ❯

processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on More ❯

environments. You will work closely with experts in quantum sensing to develop quantum magnetometry technology that will solve pressing challenges in aeronautical positioning and navigation, geophysical surveying, and magnetic anomaly detection. A key focus of the role will be developing and implementing methods for removing magnetic and/or vibrational noise induced by the platform on which the quantum … a closely related discipline; Experience performing data analysis, algorithmic development, and/or digital signal processing in one or more of the following areas: magnetic and/or gravitational anomaly detection; airborne magnetic and/or gravitational surveying; magnetic navigation; magnetic signature and/or platform motional characterisation and management; magnetic and/or vibrational signal denoising More ❯

and freight trains to continuously monitor track geometry, ride comfort and vehicle performance. This approach enables real-time data collection without disrupting regular rail services, which enables early detection of track degradation and facilitating predictive maintenance strategies. Durham University is home to some of the most talented scholars and researchers from around the world who are tackling global … machine learning models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service trains. This data will be used to identify early signs of track and More ❯

machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models More ❯

smart tools for our Newsroom, the design of a robust Observability system to monitor every step of our automated pipelines and ensure data governance, and the creation of an Anomaly Detection system to intelligently identify and address data anomalies for our clients. These projects aim to improve transparency, precision, and innovation in our workflows. You’ll Need More ❯

to prototype models A strong interest or background in data science , machine learning, statistical analysis, or natural language processing is a plus — especially as applied to behavioral analytics and anomaly detection — but this is primarily a software engineering role , and we’re looking for engineers who are comfortable applying these techniques as part of a broader, hands More ❯

Experience of delivering AI and ML- based products into production environments, with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling techniques, and anomaly detection, along with experience applying predictive modelling and regression analysis. Excellent communication and stakeholder management skills, with the ability to juggle multiple projects and guide cross- functional More ❯

and Monitoring: Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection. Security Tooling: Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM. Qualifications: Experience: 7+ years in SRE, infrastructure engineering More ❯

e.g., OpenTelemetry, Prometheus, Grafana, Splunk, Datadog). Establish SLOs, SLIs, and error budgets with product and engineering teams. Drive root cause identification using distributed tracing, advanced log analysis, and anomaly detection. Security, Audit & Compliance Partner with security and compliance teams to embed controls into infrastructure and software delivery. Automate audit evidence collection, change tracking, and access management (e.g., HashiCorp More ❯

e.g., OpenTelemetry, Prometheus, Grafana, Splunk, Datadog). Establish SLOs, SLIs, and error budgets with product and engineering teams. Drive root cause identification using distributed tracing, advanced log analysis, and anomaly detection. Security, Audit & Compliance Partner with security and compliance teams to embed controls into infrastructure and software delivery. Automate audit evidence collection, change tracking, and access management (e.g., HashiCorp More ❯

Grade: GG10 - GG11 Job Description: Serve as the point of escalation for intrusion analysis, forensics, and incident response queries. Provide root cause analysis for complex, non-standard findings and anomaly detections. Mentor team members and share knowledge via the SOC Knowledge Repository. Build relationships with external SOCs and cybersecurity researchers to identify useful analytics and threat intelligence. Develop complex … KQL analytics and playbooks for detection in M365, Linux, and Windows environments. Review open-source research on threats impacting cloud services and prioritize implementation. Research vulnerabilities, produce proof-of-concept exploits, and emulate adversary TTPs for training and detection testing. Review red team and pentest findings to improve detection rules. Support forensic investigations and … practices and techniques. Knowledge of Azure, AWS is desirable. Familiarity with Windows Active Directory, Windows OS fundamentals, and networking fundamentals. Experience with CICD, source control, and writing malware and anomaly detections. Use of statistical methods for anomaly detection. Practical expertise in Microsoft Sentinel/XDR and complex KQL analytics. Strong knowledge of current security threats and threat prioritization More ❯

controls that require technical proficiency as well as tenacity, professionalism, and strong communication skills. Responsibilities Security Analytics - Efficiently distill actionable information from large data sets for reporting, hunting, and anomaly detection Incident Management - Detect, document, investigate, and resolve security incidents in an efficient manner Endpoint Forensics - Construct meaningful incident timelines from forensic artifact analysis Counter Measures - Ability … that evade traditional security controls Behavioral Analysis -Develop and implement criteria to identify anomalous user behavior leading indicating insider threat activity Intrusion Detection - Develop and tune network anomaly control capability to produce reliable actionable data Threat Hunting - Proactively search for unknown threats within the environment. Knowledge and Experience University degree in related discipline 1+ years of relevant More ❯