21 of 21 Anomaly Detection Jobs in the UK excluding London

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 ❯

end-to-end tests for Apache Spark processing . Test stateful processing mechanisms and structured streaming pipelines for scalability. Automate pipeline monitoring, failure detection, and alerting mechanisms . Validate pause/resume mechanisms based on responses from external API calls. Ensure compliance with enterprise data governance and security … in test automation frameworks , such as PyTest, Robot Framework , or custom-built solutions. Proficiency in data validation techniques , including schema checks, transformation validation, and anomaly detection . Understanding of event-driven architectures and stateful processing in streaming applications . Experience with API testing for external integrations within More ❯

quality and transformation integrity. Monitoring & Performance Optimization: Monitor data pipelines with tools like Prometheus and Datadog to ensure optimal performance and health. Proactively implement anomaly detection and optimize system performance and resource allocation. Collaborate with cross-functional teams to align DataOps practices with organizational goals. Apply agile More ❯

information discovery from publicly available sources Design advanced search and recommendation capabilities Create and refine machine learning models for risk identification and pattern detection Collaborate with engineers to integrate your data science solutions into our platform Design and analyze A/B tests to measure the effectiveness of … development Experience with OSINT or intelligence analysis tools and methodologies Understanding of data privacy regulations and security considerations Experience with time series analysis and anomaly detection Familiarity with A/B testing and experimentation design Experience working with PAI sources and analytical techniques Knowledge of graph databases 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 ❯

IFS Cloud, revolutionizing Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your data engineer wizardry will power our solutions, crafting efficient data pipelines, expanding our data platform More ❯

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 More ❯

as enterprise, edge/deployed environments or cloud . Demonstrable knowledge of cyber detection (e.g., threat identification/intelligence, real-time monitoring, anomaly detection) and cyber response (e.g. incident response, eradication and remediation, recovery, post-incident analysis). DevSecOps. Zero Trust Architecture (ZTA) expertise for More ❯

media, and performing forensic analysis following best practices and procedures. You will play a significant role in developing and implementing strategies for effective detection and response to cyber threats, coordinating investigative efforts across all business units. Additionally, you will ensure all findings are documented and communicated effectively to … stakeholders, assist in enhancing detection analytics capabilities, including risk scoring and key indicators, and ensure adherence to response escalation processes and investigative protocols. Your profile Knowledge and experience of cyber intelligence, forensic analysis, and data analytics Knowledge and experience with digital forensic tools and techniques Knowledge and experience … security operations, fraud detection, or cyber intelligence Knowledge and experience with Digital Guardian, Defend Point, Nessus, Trelix, and Axon Forensics Knowledge of anomaly detection and behaviour analytics Knowledge and experience developing and implementing strategies for effective detection and response to cyber threats Your 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 ❯

for product or business improvements and measuring the success of those initiatives. Experience in applying modelling techniques e.g. time series forecasting, segmentation/clustering, anomaly detection. If this great opportunity interests you, please make an application to our Recruitment Partner, Datatech Analytics. 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 ❯

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 ❯

in creating clear, informative, and actionable dashboards to improve system visibility. Automation & Alerting: Automate monitoring and alerting processes, including enrichment strategies and ML-driven anomaly detection where applicable. Cross-Team Collaboration: Work closely with ICO and product development teams to ensure seamless visibility into system and service More ❯

IFS Cloud, revolutionizing Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your data science wizardry will power our solutions, crafting efficient ML pipelines, expanding our algorithmic pool More ❯

information and assist management of the smart meter estate Define further reporting and analytic requirements to provide operational information to the wider business Manage Anomaly Detection Thresholds (ADT) with the DCC (Regulatory requirement); and Manage and respond to any ADT threshold warnings or breaches. Act as point More ❯

information and assist management of the smart meter estate Define further reporting and analytic requirements to provide operational information to the wider business Manage Anomaly Detection Thresholds (ADT) with the DCC (Regulatory requirement); and o Manage and respond to any ADT threshold warnings or breaches. Act as More ❯

set up Understanding of analytics at item level and use/application of advanced analytics concepts such as AI ML clustering, mix optimisation or anomaly detection Understanding of latest technologies to improve SC visibility such as blockchain, RFID, DDMRP Able to independently analyse large datasets using established More ❯

set up Understanding of analytics at item level and use/application of advanced analytics concepts such as AI ML clustering, mix optimisation or anomaly detection Understanding of latest technologies to improve SC visibility such as blockchain, RFID, DDMRP Able to independently analyse large datasets using established More ❯