20 of 20 Anomaly Detection Jobs in the UK excluding London

stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented More ❯

stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented More ❯

stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented More ❯

data workflows to improve data processing, data governance, and predictive analytics capabilities. Use Azure AI and machine learning tools to automate data quality assurance, anomaly detection, and pattern recognition for enhanced decision-making. Data Encryption & GDPR Compliance Implement data encryption protocols to secure sensitive information before ingestion. 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 ❯

research. ETL & Data Engineering – Build ETL workflows that unify data from multiple sources into a structured format. Ensure Data Quality – Implement validation techniques and anomaly detection for data integrity. Collaborate Across Teams – Work closely with quant researchers, AI/ML engineers, and trading professionals. Automate & Optimize – Streamline More ❯

and KPIs to continuously iterate and improve the product experience. Work closely with data science and analytics teams to integrate advanced visualization methods (e.g., anomaly detection, forecasting visuals). Act as a subject matter expert to translate user needs and scientific data requirements into compelling visual interfaces More ❯

complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work … effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS … Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and remote work. 📈 Career Growth 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯