24 of 24 Remote Anomaly Detection Jobs in the UK

develop an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and architecture priorities for engineering teams. Partner with data scientists to improve … AI-driven predictive analytics, anomaly detection, and root cause analysis. Collaborate with banks, trading firms, and financial services IT teams to understand operational challenges. Develop use cases for AI-driven observability, fraud detection, self-healing infrastructure, and compliance monitoring. Work closely with sales and customer 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 ❯

big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve More ❯

varying functions and levels in data quality and root cause analysis techniques. Experience using Power BI, Tableau, or similar tools for data visualisation and anomaly detection. Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams. Ability to integrate AI-driven insights into your work More ❯

Experience integrating models into real-time decision-making systems or multi-agent RL environments (MARL). Exposure to spatiotemporal data analysis, including time-series anomaly detection and forecasting. Familiarity with ROS (Robot Operating System) for robotics or simulation integration. Publications in top-tier conferences/journals (e.g. More ❯

achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model 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 ❯

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 ❯

based on knowledge of Acadian's processes and pertinent new research. Explore structured and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data More ❯

AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries. Model Hosting and Monitoring: Host and monitor NLP models More ❯

industry challenges. Design algorithms and experiments to support product development and enhance business intelligence. Process, clean and verify data integrity while automating event and anomaly detection models. Stay informed on technological advancements, proactively implementing new techniques to boost analytics capabilities. About You At least 2 years’ experience More ❯

generative modeling , Bayesian deep learning , signal/image processing , or graph models . Experience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.). Understanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases). Experience with recent trends such 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 ❯

managing global, cross-functional projects. Experience with OSI-PI, SAP, MES, or similar systems (preferred). Strong background in ML for process monitoring and anomaly detection. Skilled in MVA and tools like SIMCA, plus Python and/or MATLAB. Able to integrate diverse data sources into analytical workflows. Strong 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 ❯

research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions … perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement More ❯

for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection Security Tooling: Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM Qualifications More ❯

Appneta, Wireshark, DataDog). Telecommunications (MPLS, Optical Networks, ISPs, CDNs, SLAs) required. Networking (WAN, LAN, Routing:BGP,OSPF,VxLAN, NFV, IPv4, QoS, Traffic Profiling, Anomaly Detection, Disaster Recovery, Business Continuity, Continuous Availability, High Availability). Successful candidate will align to the following: Possess exceptional interpersonal skills, technical 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 ❯

experience applying machine learning to time-series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g. More ❯

open-source innovation. You'll collaborate with cross-functional teams to bring AI-powered capabilities to life from intelligent documentation assistants to code generation, anomaly detection, search improvements, and beyond. Responsibilities Design, develop, and deploy AI/ML models and systems that enhance the Appwrite platform. Identify More ❯

several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored complex AI/ML models and systems in production at scale. A proven track More ❯

several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. A proven track record . You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. More ❯