19 of 19 Anomaly Detection Jobs in the North of England

and maintain scalable, modular pipelines using AWS services (Glue, Lambda, Step Functions, S3), supporting ingestion, transformation, and storage across key business domains. Data Quality & Governance: Implement automated data validation, anomaly detection, lineage, and auditability; enforce consistent naming, access controls, and compliance with GDPR and healthcare standards. Performance & Cost Optimisation: Tune pipelines and query layers (Glue, Athena) for More ❯

and maintain scalable, modular pipelines using AWS services (Glue, Lambda, Step Functions, S3), supporting ingestion, transformation, and storage across key business domains. Data Quality & Governance: Implement automated data validation, anomaly detection, lineage, and auditability; enforce consistent naming, access controls, and compliance with GDPR and healthcare standards. Performance & Cost Optimisation: Tune pipelines and query layers (Glue, Athena) for More ❯

clean, reliable, query-ready datasets used by commercial, operational, and marketing teams. Defining and evolving the data architecture to support scale, cost-efficiency, and data quality. Building validation layers, anomaly detection, and alerting to ensure trustworthy, production-grade pipelines . Working with infrastructure-as-code tools (e.g. CDK, Terraform) to manage data infrastructure securely and repeatably. Driving More ❯

scalable, agnostic testing frameworks for use across agile delivery teams. Promote best practices including Test-Driven Development (TDD) , Behaviour-Driven Development (BDD) , and AI/ML-based testing for anomaly detection and performance validation. Mentor and upskill test and engineering teams in modern, automation-first testing approaches. Collaborate across teams to ensure quality and consistency throughout the More ❯

of different data sources into our Lakehouse (Databricks on Azure Data Lake) and its architecture. Be responsible for the reliability and quality of data in the Data Lake (including anomaly detection, data quality checks, reconciliations, access, permission, and retention management, PII treatment, and back-up/restoration plans). Set up and manage platform technologies to support More ❯

design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such as risk management … on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and … AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and More ❯

design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such as … on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and … AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

other SOCs and cybersecurity researchers to identify analytics, threat intelligence, and tradecraft that benefit the Blue Team. Communicate funding and prioritization suggestions and lead implementation when needed. Develop complex, anomaly-based KQL analytics and playbooks for detection in M365, Linux, and Windows environments. Review open-source research on threats affecting cloud services and VMs, prioritizing and implementing … relevant findings. Research vulnerabilities, produce proof-of-concept exploits, and emulate adversary TTPs for training and detection evaluation. Review red team and pentest findings to improve detection rules. Provide forensic support and threat emulation to improve alert triage and accuracy. Identify gaps in SOC processes, data collection, and analysis, demonstrating the need for improvements through scenarios … AWS knowledge preferred. Understanding of Windows Active Directory and Windows OS fundamentals. Networking fundamentals experience. Experience with CI/CD and source control systems. Experience in developing malware and anomaly detections. Use of statistical methods for anomaly detection. Proficiency with Microsoft Sentinel and/or XDR. Strong skills in writing complex KQL analytics/searches. Awareness of current More ❯

months, with a high likelihood of extension Start date: Ideally immediate (they may wait up to 4 weeks for the right candidate) Skills required: NLP, Modelling, Python, SQL, Databricks, Anomaly Detection You will be joining their customer security team, which uses machine learning to detect anomalies and erroneous activity on customer accounts. Your role will involve building More ❯

cyber-physical system security in various domains, including energy, transportation, finance, etc. The successful candidate should have the following research profile: Excellent knowledge of network security (e.g., intrusion and anomaly detection and prevention, denial-of-service attacks and countermeasures, wireless security, software-defined networks) and/or applied cryptography (e.g., algorithms and protocols, key management, real-world More ❯