1 to 25 of 41 Permanent Anomaly Detection Jobs in England

the team on projects and your day job typically consists of: Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries … sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.). Tune algorithms and data pipelines for optimal performance. Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data More ❯

ll be at the intersection of cutting-edge AI/ML technologies and real-time data processing. You'll work on developing and optimizing anomaly detection algorithms that power our highly scalable stream processing platform. What You'll Do You'll collaborate with a team of skilled … engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection. You will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models, to detect anomalies across billions … of events. You'll design and implement sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders, tailored to our unique data streams. Creating robust evaluation frameworks and metrics to assess the performance of these algorithms will be crucial. You'll also work More ❯

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 ❯

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 ❯

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 … several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection? Select Have you built, maintained and monitored complex AI/ML models and systems in production at scale Select Voluntary self More ❯

to incidents on our big data pipeline infrastructure. Build out 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 ❯

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 ❯

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 ❯

that deliver competitive prices to customers. In this role, you will design and implement data analytics solutions that drive pricing decisions while creating automated anomaly detection systems to monitor pricing effectiveness. Your responsibilities include analyzing customer behavior patterns to inform pricing strategy and developing actionable insights for 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 ❯

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 ❯

is responsible for designing, building, and testing machine learning models and systems that can solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multimodal signal detection & characterization. This position will be headquartered at our More ❯

Qualifications Experience or interest in mentoring junior engineers. Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow). Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, or data.table/R. Experience working with AWS or other cloud platforms. Knowledge of More ❯

Knowledge and expertise of data engineering concepts and best practices when working in cloud environments (e.g., AWS & OCI) Experience in Data Quality Assessment (profiling, anomaly detection) and data documentation (schema, dictionaries) What you'll get for this role: Our purpose - with you today, for a better tomorrow 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 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 ❯