12 of 12 Permanent Anomaly Detection Jobs in the UK excluding London

tools like Prometheus, Grafana, ELK, and AWS CloudWatch. Build real-time dashboards to visualize system health and reliability metrics. Configure intelligent alerting based on anomaly detection and thresholds. Combine metrics, logs, and traces to enable root cause analysis and reduce Mean Time to Resolution (MTTR). Knowledge … AIOps or ML-based anomaly detection for proactive reliability management. Collaboration Work closely with development teams to integrate reliability into application design and deployment Promote a culture of shared responsibility for uptime and performance across engineering teams. Qualifications Deep expertise with various AWS services. Advanced knowledge ...

Role We are seeking a Data Scientist to work on advanced analytical solutions across biometric and geospatial (GPS) datasets, with a particular focus on anomaly detection. You will work with multiple complex data streams, including biometric data captured via wearable technologies and location-based datasets. This role will suit … technical direction in a fast-paced, evolving environment with minimal structure. Key Responsibilities Develop and deploy data science models, with a focus on anomaly detection Work across multiple datasets, including biometric and GPS/location data Analyse and interpret data generated from wearable hardware devices Collaborate with ...

Embedding AI into enterprise SaaS products Collaborating closely with product and engineering teams Developing and deploying AI/ML features into live products Implementing anomaly detection or predictive analytics on structured operational data Managing MLOps including deployment pipelines, model monitoring, and retraining Designing REST APIs and integrating … product roadmap Job Requirements: Experience in software engineering with a focus on AI Proven experience in production AI/ML feature development Understanding of anomaly detection or predictive analytics Proficiency in Python and TypeScript/JavaScript Experience with REST API design and MCP integration patterns Knowledge ...

Design and implement automated testing frameworks to validate data pipelines and ensure compliance with aerospace standards. Develop and maintain Python scripts for data validation, anomaly detection, and quality assurance. Analyse complex datasets to identify trends, inconsistencies, and optimisation opportunities. Collaborate with engineering and IT teams to define ...

Build and deploy ML models across: Predictive analytics (performance trends, forecasting) Computer vision (video analysis, media enhancement) NLP (fan insights, content intelligence, knowledge systems) Anomaly detection (telemetry/operations monitoring) Build scalable inference pipelines (real-time + batch) Implement monitoring, drift detection, and retraining workflows ...

structural steel sectors AI Solutions Engineer Job Overview Design, develop and deploy AI solutions within Microsoft Azure environments Deliver Retrieval-Augmented Generation (RAG), forecasting, anomaly detection and data classification solutions Assess existing business systems and identify opportunities for AI-driven improvements Integrate AI technologies with Microsoft ...

packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality ...

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 ...

. Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution. Visualization and communication Graph ...

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 ...

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 ...