5 of 5 Anomaly Detection Jobs in Scotland

making across the organization. You’ll be responsible for analysing complex datasets, building predictive models, and deploying scalable data solutions using cutting-edge technologies. Responsibilities • Create, test, and implement anomaly detection algorithms and prediction models for early problem identification and failure avoidance in safety-critical equipment. • Work with operational datasets such as maintenance logs and time-series More ❯

NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with big data frameworks, with a More ❯

NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with big data frameworks, with a More ❯

business requirements, developing and reviewing conceptual and logical data models, troubleshooting and resolving model-related issues. Demonstrable expertise in analytics modelling: Predictive analytics, trend and correlation analysis, forecasting, outlier detection and exception reporting. Proven experience partnering effectively with senior business leaders. Proficient in data visualisation tools such as Power BI but experience of other tools welcome. Prior experience More ❯

driven mindset. Hands-on approach , especially in the initial stages of project deployment . Experience with AI Tools for Infrastructure Management, leveraging AI-powered tools for AIOps , predictive maintenance , anomaly detection , and automated incident response . #J-18808-Ljbffr More ❯