1 to 25 of 26 Anomaly Detection Jobs in the UK

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support.The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering … machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation. Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods. Familiarity ...

technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support. The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering … machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation. Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods. Familiarity ...

outcomes. Key responsibilities: Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling approaches Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets Build and deploy machine learning models into production, ensuring scalability and robustness Develop scenario simulations … real environments Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling Experience in threat detection/anomaly detection, such as fraud, compliance, safety, or security use cases Strong grounding in statistics, hypothesis testing, and experimental design Experience working with ...

including ingestion, retention, and performance tuning. Deploy and support Nagios-based monitoring solutions, alerting workflows, and service health checks. Implement AI-driven analytics and anomaly detection capabilities to improve fault identification and operational efficiency. Develop and maintain Grafana dashboards and visualisation platforms to provide actionable operational insights. … Nagios monitoring platforms. Practical experience with streaming telemetry technologies including gNMI, gRPC, Telegraf, and gNMIc. Exposure to AI/ML-driven monitoring, analytics, or anomaly detection solutions. Strong understanding of networking fundamentals including TCP/IP, BGP, OSPF, VLANs, and optical networking technologies. Ability to work autonomously ...

outputs and business impact. Work closely with lifecycle and engagement teams to embed model outputs into decision-making processes. Own and stabilise an existing anomaly detection solution, addressing bugs, gaps or reliability issues. Deliver clear handover documentation outlining model status, limitations and recommended next steps. Your Skills … Databricks. Comfortable owning existing models, improving reliability and driving stakeholder adoption. Familiarity with version control using Git. Exposure to customer analytics, retention modelling or anomaly detection is beneficial. How to Apply Apply below if you feel this contract would be a strong fit for your skills ...

model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model … monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. ...

reporting and self‐service analytics. Ensure data lineage, quality, and governance meet nuclear regulatory standards, maintaining audit‐ready documentation. Conduct trend analysis, forecasting, and anomaly detection to support proactive operational decision‐making. Work with multidisciplinary teams to understand data needs and translate them into technical requirements ...

applications SQL: Solid querying and data modelling skills AI model management: MLFlow, Hugging Face, or equivalent Nice to have Experience with time-series modelling, anomaly detection, or forecasting in operational or industrial contexts Infrastructure as Code (Terraform or equivalent) Containers: Docker, Kubernetes Streaming: Kafka, Kinesis Relevant certifications ...

pipelines) Help to build foundational components that allow delivery teams to benefit from AI‐assisted operations, such as intelligent event triage, automated runbooks, and anomaly detection. Assist with the adoption of modern DevOps practices: GitOps, IaC (Terraform), CI/CD pipelines (Azure DevOps/GitHub Actions), and container/ ...

infrastructure everything else depends on. Intelligence is the layer above the data - AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features. This is a full-stack role. You'll own features from the data layer to the customer-facing interface. ...

modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. What This Role Is Not: This is not a role ...

data modelling frameworks CRM data (e.g., Salesforce) Natural‐language analytics tools (e.g., TextQL) Notebook‐based analytics (e.g., Hex) - desirable AI‐assisted automation/anomaly detection - desirable What You Bring 6-10+ years in BI, data analytics, or financial analytics. Strong SQL and cloud data platform experience. ...

Augmented Infrastructure & Operations Lead the integration of AI and ML across networking and operational domains including: AIOps Predictive analytics Autonomous remediation AI-driven anomaly detection Threat intelligence Capacity forecasting Configuration intelligence Architect infrastructure capable of supporting large-scale AI training and inference workloads. Advance observability strategies using ...

Nice to Haves These are helpful, but not essential: Cybersecurity experience Penetration testing exposure Vulnerability management knowledge Agent-based system design Content analysis or anomaly detection experience MLOps understanding Enterprise environment experience Change control awareness KPI or ROI tracking experience Leadership or mentoring capability Product or solutions ...

experience using AI tools to perform data comparison, correlation and trend analysis at pace — including period-on-period reporting, forecast-vs-actual analysis and anomaly detection across sales and financial datasets. Experience building or directing AI workflows that deliver analytical work end to end — from data ingestion ...

delivery, metrics tracking, and platform efficiency Telemetry & Data-Driven Insig hts: Leverage cloud-based tools (AWS S3, Athena, QuickSight) to analyze device telemetry, building anomaly detection techniques and performing global metric comparisons across hardware modeis Release Excelle nce: Ensure timely, high-quality software releases across diverse device ...

their outputs usable for downstream systems and training our Delivery Team for field deployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure ...

hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning … front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration ...

whitepapers , contributing to product strategy 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 ...

Have Experience with AI-assisted engineering workflows Exposure to agentic AI or automation tooling Experience building telemetry analysis workflows Experience improving automated reporting and anomaly detection Experience with relational and NoSQL databases This is an exciting opportunity to shape and drive performance engineering strategy within a well ...

development skills, experience working with real-world sensor systems, and the ability to partner effectively with AI/ML components to deliver intelligent detection, classification, and tracking capabilities. About the role of Sensor Software Engineer - (not exhaustive): You'll work on the "sensors at the fringe" fixed … downstream systems and training our Delivery Team for field deployment. The role of Sensor Software Engineer spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure ...

development skills, experience working with real-world sensor systems, and the ability to partner effectively with AI/ML components to deliver intelligent detection, classification, and tracking capabilities. About the role of Sensor Software Engineer - (not exhaustive): You'll work on the "sensors at the fringe" fixed … downstream systems and training our Delivery Team for field deployment. The role of Sensor Software Engineer spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure ...

analysis. Leads incident response and oversees implementation of security controls, monitoring, and access management. Contributes to network design, including segmentation, firewalls, and intrusion detection for OT environments. Regulation & Compliance Ensures adherence to cyber security regulations and standards such as NIS and IEC 62443. Actively contributes to joint working … incident response frameworks. Ability to analyse and mitigate threats specific to critical infrastructure and OT environments. Experience with security monitoring tools, SIEM, and anomaly detection in OT environments. Understanding of secure remote access solutions and identity management in OT systems. Strong knowledge of regulatory requirements and industry ...

internal teams to improve the organisation's overall security posture. This position focuses on onboarding new log sources, optimising data pipelines, developing advanced detection use cases, and strengthening overall security monitoring and response. It's an excellent opportunity for a security professional who enjoys building scalable, high-performing … Engineering Design and implement detection use cases aligned to MITRE ATT&CK and threat intelligence Build and tune correlation rules, anomaly detections, dashboards, and alerting workflows Continuously refine detections to reduce false positives and improve effectiveness SOC & Incident Response Support Partner with SOC analysts ...