51 to 75 of 114 Anomaly Detection Jobs in London

or equivalent quantitative field - Knowledge of Python or R or other scripting language PREFERRED QUALIFICATIONS - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems Our inclusive culture empowers Amazonians to deliver More ❯

excellence and improvements to the overall customer experience. Supports a wide range of technology platforms across several countries and closely work with team of engineers to streamline transaction monitoring, anomaly detection and ongoing issues impacting customer's ability to make Payments on Amazon websites. Manage real-time support, communication, escalation, reporting, and root cause analysis of software More ❯

and act on data — minimising one-off asks and driving strategic focus. Accelerate AI Capabilities Collaborate with our AI/ML team to embed intelligence into workflows — think forecasting, anomaly detection, pricing insights, and behaviour modelling. Ensure AI is applied with purpose, and explainability is baked into every feature. Technical Collaboration Partner with Data Engineering on schema More ❯

Define and evaluate key business metrics to drive decision-making and strategy. 4. Develop machine learning tools to enhance operational efficiency and human-in-the-loop processes. 5. Conduct anomaly detection and predictive analysis to forecast hardware failures and maintain operational continuity. 6. Leverage sampling methods and uncertainty analysis to evaluate associate performance accurately and cost-effectively. More ❯

business requirements, developing and reviewing conceptual and logical data models, troubleshooting and resolving model-related issues. Demonstrable expertise in analytics modelling: Predictive analytics, trend and correlation analysis, forecasting, outlier detection and exception reporting. Proven experience partnering effectively with senior business leaders. Proficient in data visualisation tools such as Power BI but experience of other tools welcome. Prior experience More ❯

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 ❯

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 ❯

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 ❯

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 ❯

of Excellence to align data governance, quality, and reporting frameworks AI & Automation Enablement Build and scale a team focused on AI-led operational transformation (e.g. predictive analytics, smart routing, anomaly detection) Partner with data science and engineering teams to embed AI into service delivery workflows and client experience journeys Ensure all AI use cases meet compliance, governance 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 ❯

structured domain entities from data. Develop systems and frameworks for managing the lifecycle of domain entities and their relationships. Create scalable platform capabilities for data processing, metadata generation, and anomaly detection. Address complex problems like automated identity generation, web-to-Amazon namespace translation, and product classification. Design solutions for efficient storage, vending, and search of products and related data. 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 ❯

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 ❯

science into core product features Contribute to a collaborative team culture focused on technical excellence and real-world results Stay informed on new techniques and research relevant to detection, classification and real-time ML systems Ideal Background: Hands-on experience building and maintaining machine learning models in production Strong skills in Python , SQL , and modern cloud environments (AWS … and model monitoring best practices Practical mindset with the ability to balance technical depth with speed of delivery Bonus: exposure to large-scale digital data environments, classification problems, or anomaly detection Why This Role? Work at the intersection of real-time data, machine learning, and product innovation Join a lean and collaborative team where data science is More ❯

science into core product features Contribute to a collaborative team culture focused on technical excellence and real-world results Stay informed on new techniques and research relevant to detection, classification and real-time ML systems Ideal Background: Hands-on experience building and maintaining machine learning models in production Strong skills in Python , SQL , and modern cloud environments (AWS … and model monitoring best practices Practical mindset with the ability to balance technical depth with speed of delivery Bonus: exposure to large-scale digital data environments, classification problems, or anomaly detection Why This Role? Work at the intersection of real-time data, machine learning, and product innovation Join a lean and collaborative team where data science is More ❯

ArgoCD). United Kingdom Security Vetting Developed Vetting (DV) 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 environments. Experience … platforms with a strong emphasis on 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 an engineering-centric role that requires deep technical expertise in cloud environments, Kubernetes security, and platform automation. You'll work … of local, state and federal government and educational institutions. Responsibilities 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 More ❯