51 to 75 of 165 Anomaly Detection Jobs in the UK

NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with big data frameworks, with a More ❯

to clients' and prospects' questions, based on knowledge of Acadian's processes and pertinent new research. Explore structured and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. We're Looking for More ❯

and efficiency. Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency. Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models. Lead teams, mentor colleagues, and communicate 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. Preferred Knowledge and Experience 3+ years of relevant experience Deep understanding of 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. Preferred Knowledge and Experience 3+ years of relevant experience Deep understanding of More ❯

role will also focus on leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and drive down Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) . The ideal candidate will be a visionary technologist with deep expertise in observability, monitoring, and distributed systems, capable of driving strategy … to the role: Architect, design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards … tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana Elastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems Knowledge: Strong expertise in designing scalable and reliable systems for high-throughput data collection and processing. Programming Skills: Proficiency in one More ❯

detection, intelligence fusion, and predictive risk assessment . Analyse structured and unstructured intelligence data to generate actionable insights. Design, test, and optimise real-time algorithms for surveillance, anomaly detection, and adversarial analysis. Ensure compliance with strict national security protocols , maintaining the integrity and confidentiality of sensitive data. Skills & Experience Required: Proven expertise in data science More ❯

role will also focus on leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and drive down Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) . The ideal candidate will be a visionary technologist with deep expertise in observability, monitoring, and distributed systems, capable of driving strategy … role: Platform Leadership Architect, design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards … tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana Elastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems Knowledge: Strong expertise in designing scalable and reliable systems for high-throughput data collection and processing. Programming Skills: Proficiency in one More ❯

detection, intelligence fusion, and predictive risk assessment . Analyse structured and unstructured intelligence data to generate actionable insights. Design, test, and optimise real-time algorithms for surveillance, anomaly detection, and adversarial analysis. Ensure compliance with strict national security protocols , maintaining the integrity and confidentiality of sensitive data. Skills & Experience Required: Proven expertise in data science More ❯

and integrating retrieval-augmented generation (RAG) techniques, fine-tuning smaller transformer-based models (e.g., BERT, DistilBERT), and leveraging deep learning architectures for reasoning-based intelligence extraction, pattern recognition, and anomaly detection. The ideal candidate will have experience in training and fine-tuning AI models, as well as implementing scalable solutions for automated dark web analysis. WHAT WILL I DO … and document intelligence. Design and maintain scalable AI-powered query systems that integrate reasoning capabilities for dark web intelligence. Utilize deep learning and machine learning techniques to enhance automated anomaly detection, pattern recognition, and dark web data analysis workflows. Integrate trained models with existing intelligence platforms to improve real-time decision-making and risk assessment. Implement responsible … tuning smaller deep learning models for NLP and computer vision tasks. Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) and their use in AI-driven retrieval systems. Familiarity with anomaly detection techniques using deep learning and traditional ML approaches. Experience working with large-scale data processing frameworks (e.g., Spark, Hadoop, or similar technologies). Knowledge of indexing 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. Preferred Knowledge And Experience 3+ years of relevant experience Deep understanding of More ❯

functional approach to solving complex quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Banks, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving and varied, so we are recruiting people who are highly motivated and highly skilled. You will … including ability to independently drive research Excellent communication skills, both written and verbal, with ability to manage multiple stakeholders (beneficial) Understanding financial markets, risk (for example Know Your Client), anomaly detection/Machine Learning (ML), project management How we'll support you Flexible working to assist you balance your personal priorities Coaching and support from experts in More ❯

collaboratively with internal and external teams to identify opportunities for security improvements and review products that can advance our security capabilities, such as tools that support analysis/detection and other emerging technologies. Gather forensic data and physical equipment, to perform in-depth root cause analysis. Support use case tuning through auditing and approval, alongside developing new detection … security technologies, such as IDS, Web content filters, AV, SIEM, Vulnerability Management, Firewalls, and awareness of their purpose in a layered security approach alongside analysing their outputs for security anomaly detection. In-depth understanding of the cyber threat landscape, advanced adversary tactics, and the MITRE Attack Framework. Strong understanding of low-level concepts including operating systems, Active Directory, Windows More ❯

of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization; Experience with pipeline orchestration tools like Airflow, Argo, etc.; Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data; Intermediate+ English — ability to participate in written discussions with international teams and clients. Join a mission-driven More ❯

financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies. Join us as a Senior ML Research Engineer and you will 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 ❯

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 ❯

improvements and delivering them Be a point of contact for intrusion analysis, forensics and Incident Response queries. Able to provide root cause analysis of non-standard analytic findings and anomaly detections for which a playbook does not yet exist. Responsible for ensuring that during times of reduced capacity that all ADHOC and regular products are completed and are at … used within the Cyber Threat Intelligence Domain, Including the Cyber Kill Chain and MITRE ATT&CK Development of new analytics and playbooks that result in creation of new detection rules/analytics Requirements Technical 3+ years’ experience in Cyber Threat Intelligence, and conducting research and investigating cyber threats in a technical capacity Experience in technical incident response and 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 ❯

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 ❯

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 ❯

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 ❯

improvements and delivering them Be a point of contact for intrusion analysis, forensics and Incident Response queries. Able to provide root cause analysis of non-standard analytic findings and anomaly detections for which a playbook does not yet exist. Responsible for ensuring that during times of reduced capacity that all ADHOC and regular products are completed and are at … used within the Cyber Threat Intelligence Domain, Including the Cyber Kill Chain and MITRE ATT&CK Development of new analytics and playbooks that result in creation of new detection rules/analytics Requirements Technical 3+ years' experience in Cyber Threat Intelligence, and conducting research and investigating cyber threats in a technical capacity Experience in technical incident response and 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 ❯

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 ❯