22 of 22 Remote Anomaly Detection Jobs in the UK

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the mission control for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working with some of the world s leading industrial organisations, this platform is central to our 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 ❯

CheckPoint CCSE/CCSA). Strong understanding of IP networking, including LAN, WAN, and routing protocols (OSPF, BGP, RIP, MPLS). Experience managing network security technologies (e.g., firewalls, VPNs, anomaly detection). Proficiency in network monitoring and management tools such as SolarWinds, Tufin, and Hirschmann HiVision. Confident decision-making skills with the ability to balance operational, technical 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 ❯