25 of 25 Anomaly Detection Jobs in the UK excluding London

Scotland - United Kingdom Type: Permanent Senior SOC Engineer A leading organisation is seeking a Senior SOC Engineer to strengthen its security operations capability and drive continuous improvement across detection, response, and automation. This pivotal role requires deep expertise in IBM QRadar, with a strong focus on playbook development, analytical rule creation, and threat modelling. The Senior SOC Engineer … will play a key role in building and optimising detection and response strategies, ensuring robust protection against evolving threats. Key Responsibilities SIEM Engineering & Management … Deploy, configure, and maintain the QRadar SIEM platform. Onboard and normalise log sources across on-premises and cloud environments. Develop and optimise analytical rules for threat detection, anomaly detection, and behavioural analysis. Playbook Development & Automation Design and implement incident response playbooks for scenarios such as phishing, lateral movement, and data exfiltration. Integrate playbooks with SOAR More ❯

of rough path theory and modern machine learning. This ambitious, multi-institutional collaboration aims to redefine how streamed data is modelled and processed-unlocking new capabilities in generative AI, anomaly detection, and real-time decision-making. What you would be doing Key scientific challenges you'll help tackle: Next-generation Transformers: Develop mathematically grounded architectures for continuous … multimodal data streams. Efficient Representations: Create robust, interpretable, and scalable representations using signature and path development techniques Anomaly Detection: Build principled, representation-invariant methods for identifying outliers in high-dimensional data with use in appllications. The postholders will be expected to make significant contributions to the mathematical foundations of the programme, engage actively with the broader DataSıg More ❯

join our success story! As our Technical Lead for the AWS Engineering team, you will be responsible for:- Leading the design, development, and deployment of a bespoke fraud detection and transaction monitoring system. Collaborating with a variety of stakeholders and financial crime experts globally to define a technical vision and strategy for the platform. Architecting scalable and robust … and third-party tools. Ensuring high code quality and engineering best practices through code reviews, mentoring, and technical guidance. Owning and evolving the technical design of core fraud detection components. Driving continuous improvement in team processes, tooling, and development workflows. Coaching and supporting engineers in their technical growth, fostering a culture of learning and continuous improvement. Providing thoughtful … automation) TypeScript and React (frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as-code tools (e.g. More ❯

join our success story! As our Technical Lead for the AWS Engineering team, you will be responsible for:- Leading the design, development, and deployment of a bespoke fraud detection and transaction monitoring system. Collaborating with a variety of stakeholders and financial crime experts globally to define a technical vision and strategy for the platform. Architecting scalable and robust … and third-party tools. Ensuring high code quality and engineering best practices through code reviews, mentoring, and technical guidance. Owning and evolving the technical design of core fraud detection components. Driving continuous improvement in team processes, tooling, and development workflows. Coaching and supporting engineers in their technical growth, fostering a culture of learning and continuous improvement. Providing thoughtful … automation) TypeScript and React?(frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as-code tools (e.g. More ❯

with governed datasets and internal tools. Build lightweight portals, scripts, and APIs to streamline business workflows. AI & Advanced Analytics Integrate AI services into BI dashboards and operational workflows (e.g., anomaly detection, natural language Q&A). Implement semantic search and intelligent alerting using AWS Bedrock or Azure equivalents. Security, Governance & Resilience Enforce least-privilege access, RBAC, and More ❯

completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support Act as a bridge between business and technical teams, ensuring alignment of data requirements. Provide training and guidance to business users on More ❯

scalability, and reliability. Utilise tools like Alteryx for data transformation and cleansing to improve workflow efficiency. Data Innovation & Automation: Apply AI tools and automation to enhance reporting capabilities, including anomaly detection and performance forecasting. Support the integration of predictive analytics and natural language query tools to facilitate self-serve data access. Enablement & Stakeholder Engagement: Partner with key More ❯

with drone software stacks (e.g. ArduPilot, PX4). Experience with telemetry protocols like MAVLink. Awareness of cybersecurity practices in distributed systems. Exposure to machine learning in robotics, optimisation, or anomaly detection. Experience in safety-critical or high-reliability systems engineering. Knowledge of containerisation and cloud deployment (Docker, Kubernetes, AWS/GCP). What We Offer The opportunity to work More ❯

with drone software stacks (e.g. ArduPilot, PX4). Experience with telemetry protocols like MAVLink. Awareness of cybersecurity practices in distributed systems. Exposure to machine learning in robotics, optimisation, or anomaly detection. Experience in safety-critical or high-reliability systems engineering. Knowledge of containerisation and cloud deployment (Docker, Kubernetes, AWS/GCP). What We Offer The opportunity to work More ❯

with drone software stacks (e.g. ArduPilot, PX4). Experience with telemetry protocols like MAVLink. Awareness of cybersecurity practices in distributed systems. Exposure to machine learning in robotics, optimisation, or anomaly detection. Experience in safety-critical or high-reliability systems engineering. Knowledge of containerisation and cloud deployment (Docker, Kubernetes, AWS/GCP). What We Offer The opportunity to work More ❯

contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable, context-aware More ❯

contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable, context-aware More ❯

contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable, context-aware More ❯

and investment planning. Knowledge of KPIs and ability to architect solutions that improve financial and operational performance. Exposure to AI/ML use cases in corporate functions (e.g. finance anomaly detection, HR attrition modelling, procurement spend analytics) Job Offer Competitive salary of £100,000 to £130,000 per annum. Bonus target of 18% to reward performance. Private More ❯

data governance platforms Provide technical guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI) to enhance data quality automation and anomaly detection. More ❯

build tech solutions Process, cleanse and analyse field data (e.g. sensor, geodata, drone imagery, underwater survey data) and produce actionable insights Prototype models and algorithmic solutions (e.g. predictive maintenance, anomaly detection, scheduling optimisation) Work with external partners, GIS/remote sensing, visualization and tooling frameworks Assist in digital transformation initiatives — documenting code, developing dashboards and enabling wider More ❯

data processing Strong hands-on experience in C#, .NET, Golang, or TypeScript , plus SQL/databases Awareness of AI/ML applications in scalable platforms (e.g., real-time recommendations, anomaly detection, predictive analytics) Strong leadership, communication, and stakeholder engagement skills Experience in system rebuilds, migrations, or greenfield platform design is a big plus Why Join Us? Hybrid More ❯

data processing Strong hands-on experience in C#, .NET, Golang, or TypeScript , plus SQL/databases Awareness of AI/ML applications in scalable platforms (e.g., real-time recommendations, anomaly detection, predictive analytics) Strong leadership, communication, and stakeholder engagement skills Experience in system rebuilds, migrations, or greenfield platform design is a big plus Why Join Us? Hybrid More ❯

and risks. Review cloud and SaaS services for secure configuration, resilience, and vendor governance, using independent assurance to validate management's remediation. Apply data analytics for population testing and anomaly detection, develop repeatable scripts to increase coverage, report issues with clear severity, and track remediation while updating the IT risk assessment. Produce concise, risk-rated reports detailing 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 ❯

identify emerging threats and relevant TTPs. Produce technical threat reports and briefings to inform security posture and decision-making. Conduct proactive threat hunting based on intelligence-led hypotheses and anomaly detection. Support risk assessments with insights from offensive operations and threat landscape analysis. Personal Specification: The below criteria will be scored during Shortlisting (S), Interview (I) or both (S More ❯

identify emerging threats and relevant TTPs. Produce technical threat reports and briefings to inform security posture and decision-making. Conduct proactive threat hunting based on intelligence-led hypotheses and anomaly detection. Support risk assessments with insights from offensive operations and threat landscape analysis. Personal Specification: The below criteria will be scored during Shortlisting (S), Interview (I) or both (S 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 ❯

Skills & Expectations: Strong expertise in AI safety tools (e.g., Responsible AI Toolbox, Deepchecks) Experience with LLM compliance testing frameworks Hands-on knowledge in: Prompt injection testing and AI behaviour anomaly detection Bias, fairness, and explain ability metrics for LLMs Audit trail generation, logging, and compliance reporting (GDPR/DSAR) Security risk mitigation in AI agent systems More ❯

improvement using front end monitoring tools and backend KPI data Turn KPI trends into a cohesive story and deliver high level summaries to executive management Develop automated alerting and anomaly detection systems Assist with A/B experimentation monitoring and reporting Produce and maintain KPI queries, dashboards, and reports What You'll Bring Expertise in complex data More ❯