51 to 70 of 70 Anomaly Detection Jobs in England

client's project based at Birmingham/London, UK – 3 day per week Onsite Role Overview An Elastic Security Specialist is responsible for designing, implementing, and maintaining security detection, alerting, and response capabilities using the Elastic Stack. You will work cross-functionally with SOC teams, threat hunters, and engineers to translate adversary behaviours into automated detection rules, build investigative workflows, and integrate Elastic Security with external security tools. Key Responsibilities Detection Engineering Author and optimize detection rules in Elastic Security (EQL, Rule DSL, Sigma-to-ES mappings). Develop look-back and schedule intervals, ensuring coverage of varied threat actor behaviours. Tune rule thresholds and enrich alerts with contextual data … SOC monitoring. Integration & Automation Integrate Elastic Security with endpoint agents (Elastic Agent, Beats), EDR platforms, and threat intel feeds. Automate incident enrichment using Ingest Pipelines, transforms, and Machine Learning anomaly detection jobs. Platform Hardening & Scaling Advise on cluster sizing, index lifecycle management (ILM), snapshot/restore strategies for long-term data retention. Implement RBAC, field- and document More ❯

client's project based at Birmingham/London, UK – 3 day per week Onsite Role Overview An Elastic Security Specialist is responsible for designing, implementing, and maintaining security detection, alerting, and response capabilities using the Elastic Stack. You will work cross-functionally with SOC teams, threat hunters, and engineers to translate adversary behaviours into automated detection rules, build investigative workflows, and integrate Elastic Security with external security tools. Key Responsibilities Detection Engineering Author and optimize detection rules in Elastic Security (EQL, Rule DSL, Sigma-to-ES mappings). Develop look-back and schedule intervals, ensuring coverage of varied threat actor behaviours. Tune rule thresholds and enrich alerts with contextual data … SOC monitoring. Integration & Automation Integrate Elastic Security with endpoint agents (Elastic Agent, Beats), EDR platforms, and threat intel feeds. Automate incident enrichment using Ingest Pipelines, transforms, and Machine Learning anomaly detection jobs. Platform Hardening & Scaling Advise on cluster sizing, index lifecycle management (ILM), snapshot/restore strategies for long-term data retention. Implement RBAC, field- and document More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces … , malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring. 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.) Proficient in a major backend language (ideally More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces … , malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring. 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.) Proficient in a major backend language (ideally More ❯

Deliveroo/Uber/JustEat) Build self-serve dashboards for kitchens and food brands Greenfield: AI food quality control (models + Mechanical Turk) Greenfield: AI & gamified kitchen management Greenfield: Anomaly detection Greenfield: Performance marketing optimization (multi-armed bandits) Ideal candidate traits: Fast, curious, hands-on Hungry to scale real-world systems Enjoys hackathons Likes food Benefits: Generous More ❯

our portfolio of investments Doing ad-hoc analysis and presenting results in a clear manner Presenting findings and recommendations to stakeholders in a clear and concise manner Creating automated anomaly detection systems and constant tracking of its performance Protecting data to ensure its confidentiality to the most stringent standards and divulging information on a need-to-know More ❯

our portfolio of investments Doing ad-hoc analysis and presenting results in a clear manner Presenting findings and recommendations to stakeholders in a clear and concise manner Creating automated anomaly detection systems and constant tracking of its performance Protecting data to ensure its confidentiality to the most stringent standards and divulging information on a need-to-know More ❯

transparency FinOps Tools Deployment - Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting - Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection - Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation - Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education More ❯

transparency FinOps Tools Deployment Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education More ❯

transparency FinOps Tools Deployment Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education More ❯

transparency FinOps Tools Deployment Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education More ❯

about AI, developer tooling, and open-source innovation. You'll collaborate with cross-functional teams to bring AI-powered capabilities to life from intelligent documentation assistants to code generation, anomaly detection, search improvements, and beyond. Responsibilities Design, develop, and deploy AI/ML models and systems that enhance the Appwrite platform. Identify opportunities to integrate AI features More ❯

payroll data and processes to identify opportunities for ML/AI-driven automation and optimization Design, develop, and deploy scalable ML models and algorithms to automate payroll compliance checks, anomaly detection, and reporting Collaborate cross-functionally with payroll, finance, and technology teams to understand business requirements and translate them into effective AI/ML solutions Continuously monitor More ❯

features for accuracy and relevance Provide input on: Common workflows for mainly small but also mid-sized businesses (e.g. cashflow, month-end close) Data needed for forecasting, reporting, or anomaly detection Edge cases, limitations, and realistic expectations around automation Contribute to user research planning, interviews, and testing when needed Help translate technical product ideas into accounting-relevant … goals Strong communicator: can explain financial concepts to non-experts Open to collaborating with product managers, engineers, and designers Nice to Have Exposure to AI tools in finance (e.g. anomaly detection, categorisation, forecasting models) Experience working in or with software companies or digital tools Understanding of APIs, data integrations, or how financial systems connect All profiles will More ❯

features for accuracy and relevance Provide input on: Common workflows for mainly small but also mid-sized businesses (e.g. cashflow, month-end close) Data needed for forecasting, reporting, or anomaly detection Edge cases, limitations, and realistic expectations around automation Contribute to user research planning, interviews, and testing when needed Help translate technical product ideas into accounting-relevant … goals Strong communicator: can explain financial concepts to non-experts Open to collaborating with product managers, engineers, and designers Nice to Have Exposure to AI tools in finance (e.g. anomaly detection, categorisation, forecasting models) Experience working in or with software companies or digital tools Understanding of APIs, data integrations, or how financial systems connect All profiles will More ❯

You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored complex AI/ML models and systems in production at scale. A proven track record . You know how … Do you have experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection? Select Have you built, maintained and monitored complex AI/ML models and systems in production at scale Select Voluntary self-identification, gender and race We More ❯

as: Python for data science and ML Computer Vision, including OpenCV Model training, evaluation – accuracy, precision, recall, F1, dataset management Object detection, image classification, segmentation, depth estimation, anomaly detection Docker/containerisation. Personal Qualities and Experience You are someone who enjoys learning new skills, finding out things and also learning from mistakes. We’d like … in software , but you should be able to demonstrate your interest by having done something or worked on a ‘passion project’ yourself. You might have developed an object detection model, or built and trained an image classifier, or used OpenCV or similar to detect specific objects from a real-time feed, or some other relevant activity. You should More ❯

is designed, developed, tested, and maintained. This unit will explore the integration of AI tools and techniques—such as large language models, code generation systems, automated testing frameworks, and anomaly detection algorithms—throughout the entire SDLC. The goal is to increase development speed, improve code quality, reduce human error, and enable predictive maintenance. Key use cases, to … be prioritized during the project, also based on the industry needs, include AI-assisted coding, intelligent requirement analysis, automated bug detection and resolution, continuous integration optimization, and AI-driven documentation. Each unit will be at the frontier between fundamental AI methodologies and their rapid, scalable deployment in industrial environments. The goal: create high-impact, market-ready solutions while More ❯

is designed, developed, tested, and maintained. This unit will explore the integration of AI tools and techniques—such as large language models, code generation systems, automated testing frameworks, and anomaly detection algorithms—throughout the entire SDLC. The goal is to increase development speed, improve code quality, reduce human error, and enable predictive maintenance. Key use cases, to … be prioritized during the project, also based on the industry needs, include AI-assisted coding, intelligent requirement analysis, automated bug detection and resolution, continuous integration optimization, and AI-driven documentation. Each unit will be at the frontier between fundamental AI methodologies and their rapid, scalable deployment in industrial environments. The goal: create high-impact, market-ready solutions while More ❯

an experienced Business Analyst to support compliance with the Digital Operational Resilience Act (DORA) and related regulations (eg, SS2-21 ). The focus is on enhancing Anomalous Activity Detection and Systems Monitoring to improve resilience against ICT-related disruptions. The role spans both banking and securities entities, helping align systems, policies, and reporting with regulatory standards while supporting … operational continuity. Key Responsibilities Identify monitoring and detection gaps across critical systems and services Map critical functions to current monitoring configurations; define uplift plans Align procedures and standards with DORA requirements Collaborate with tooling and tech teams to implement resilience controls Analyse Regulatory and Implementation Technical Standards Develop requirements documents and support the full project life cycle Ensure … dual-entity responsibilities Experience & Skills Required: 5+ years' experience as a Business Analyst in financial services or consulting Strong understanding of DORA and ICT operational resilience Experience in cyber anomaly detection and systems monitoring Skilled in tools such as JIRA, ServiceNow, Microsoft Office Preferred: Familiarity with EBA, PRA, and ESMA regulatory frameworks Knowledge of ITIL and tech More ❯