8 of 8 Permanent Anomaly Detection Jobs in the South East

our payment systems. Your role will involve leveraging data analytical skills, Python, SQL, and various analytical tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse transaction data to … of fraudulent activities. o Investigate and monitor real-time transaction alerts to detect potential card fraud. o Develop and implement data-driven fraud detection rules and models. o Analyse false positives to refine and optimize fraud detection systems. o Ensure that the company's financial practices … problem-solving skills with a keen eye for detail. o Ability to interpret complex data and turn it into actionable insights. o Familiarity with anomaly detection and pattern recognition techniques. • Communication and Stakeholder Management: o Excellent communication skills with the ability to translate complex data findings into More ❯

and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing More ❯

analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. · Proficient in Python programming and More ❯

AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, LLMs, Generative Models (PALM, GPT3/4), Entity Extraction etc. Inside IR35 contract, rates to reflect More ❯

year , requiring 3 days per week onsite in London and 2 days remote . Key Responsibilities: Build and implement AI models for classification, clustering, anomaly detection, and NLP. Manage end-to-end model lifecycle from data prep to deployment and monitoring. Write clean, production-level Python and More ❯

decision-making, automate manual analysis, and enhance user experience across the Soldo platform. Your focus will span generative AI assistants, intelligent transaction categorisation, OCR, anomaly detection, predictive analytics, and data-driven guidance systems. You’ll work on complex problems at the intersection of finance, data, and product More ❯

boundaries of what AI can do. What’s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. More ❯

Analyze machine performance (OEE) supporting the OEE governance (Vorne/MES integration), defect rates, and throughput trends building models for predictive quality issues and anomaly detection enable real-time visibility from the shop floor to top floor. Map and analyze the processes to identify value/non More ❯