12 of 12 Anomaly Detection Jobs in the South East

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯