4 of 4 Contract Anomaly Detection Jobs in the UK

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 ...

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 ...

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 ...

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 ...