16 of 16 Anomaly Detection Jobs in the UK excluding London

system lifecycle, integrating multi-source data, including BIM, LiDAR, point cloud, and operational datasets, to develop solutions for automated inspection, anomaly detection, predictive maintenance, and intelligent decision support. Crucially, you will ensure that solutions are commercially viable, aligned with client requirements, and deliver measurable operational value. Working … processing and validation. Youll also have hands-on experience applying machine learning and computer vision techniques, such as detection, classification, segmentation, and anomaly detection, to solve complex, real-world challenges. You will work both independently and as part of multidisciplinary teams, bringing a practical, solutions ...

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 ...

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 ...

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 ...

SLIs where appropriateBuild and manage infrastructure using Terraform and AnsibleDevelop automation and Python-based tooling to improve operationsLeverage AI-based tools for monitoring, anomaly detection, and analysisCreate lightweight agent-based workflows to support operational decisionsEnhance monitoring, alerting, and system visibilityCollaborate with engineering and security teams to maintain ...

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 ...

modern production environment. What You Will Be Doing Building and validating machine learning models including classification, unsupervised learning such as anomaly and outlier detection and ranking models Performing deep exploratory data analysis to identify trends, risk clusters and early signals Conducting time series analysis to assess trends … models into production using containerised environments Working closely with stakeholders to translate business challenges into analytical solutions Supporting model monitoring, optimisation and drift detection Core Skills and Experience Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation Advanced SQL skills for querying structured ...