1 to 25 of 44 Remote Anomaly Detection Jobs in England

effectively with stakeholders across data, governance, and infrastructure. Experience in defining quality strategies , driving process improvements, and implementing automation in large-scale data platforms. Knowledge of data observability and anomaly detection tools (preferred). Industry experience in financial services, insurance, or regulated environments (not essential, but preferred). This role is an excellent opportunity for a Lead More ❯

scalable, agnostic testing frameworks for use across agile delivery teams. Promote best practices including Test-Driven Development (TDD) , Behaviour-Driven Development (BDD) , and AI/ML-based testing for anomaly detection and performance validation. Mentor and upskill test and engineering teams in modern, automation-first testing approaches. Collaborate across teams to ensure quality and consistency throughout the More ❯

models using relevant datasets to 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 training Code Review and Documentation More ❯

models using relevant datasets to 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 training Code Review and Documentation More ❯

MySQL Ingestion pipeline for reduced latency and 10x scalability. Redshift -> Snowflake migration Unified Local Analytics Development Environment for Airflow and DBT Building our next generation company metrics framework, adding anomaly detection and alerting, and enabling easier discovery and consumption. About you You have 5+ years of full-time, professional work experience in the data space using Python More ❯

Senior Forward Deployed Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You’ll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you’ll tackle challenges in ML generalization, guide clients on model performance, and influence product … environments Track record of delivering end-to-end ML projects in production environments It would be a real bonus, but not a requirement if: Experience with time series analysis, anomaly detection, or deep learning Apache Spark knowledge/experience PhD in relevant field, research publications, or contributions to open-source projects Prior experience in successful startups Interview More ❯

a related field. Background in 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 as foundation models , causal inference More ❯

Optimize AI Pipelines: Ensure our 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 and LLM for real-time More ❯

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation … Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Principal Engineers specializing in Anomaly Detection to join our dynamic R&D team. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs … game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The More ❯

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description. Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing … Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Principal Engineers specializing in Anomaly Detection to join our dynamic R&D team. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs … game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The More ❯

to clients' and prospects' questions, 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 applications. We're Looking for More ❯

and efficiency. Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency. Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models. Lead teams, mentor colleagues, and communicate More ❯

functional approach to solving complex quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Banks, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving and varied, so we are recruiting people who are highly motivated and highly skilled. You will … including ability to independently drive research Excellent communication skills, both written and verbal, with ability to manage multiple stakeholders (beneficial) Understanding financial markets, risk (for example Know Your Client), anomaly detection/Machine Learning (ML), project management How we'll support you Flexible working to assist you balance your personal priorities Coaching and support from experts in More ❯

collaboratively with internal and external teams to identify opportunities for security improvements and review products that can advance our security capabilities, such as tools that support analysis/detection and other emerging technologies. Gather forensic data and physical equipment, to perform in-depth root cause analysis. Support use case tuning through auditing and approval, alongside developing new detection … security technologies, such as IDS, Web content filters, AV, SIEM, Vulnerability Management, Firewalls, and awareness of their purpose in a layered security approach alongside analysing their outputs for security anomaly detection. In-depth understanding of the cyber threat landscape, advanced adversary tactics, and the MITRE Attack Framework. Strong understanding of low-level concepts including operating systems, Active Directory, Windows More ❯

of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization; Experience with pipeline orchestration tools like Airflow, Argo, etc.; Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data; Intermediate+ English — ability to participate in written discussions with international teams and clients. Join a mission-driven More ❯

improvements and delivering them Be a point of contact for intrusion analysis, forensics and Incident Response queries. Able to provide root cause analysis of non-standard analytic findings and anomaly detections for which a playbook does not yet exist. Responsible for ensuring that during times of reduced capacity that all ADHOC and regular products are completed and are at … used within the Cyber Threat Intelligence Domain, Including the Cyber Kill Chain and MITRE ATT&CK Development of new analytics and playbooks that result in creation of new detection rules/analytics Requirements Technical 3+ years’ experience in Cyber Threat Intelligence, and conducting research and investigating cyber threats in a technical capacity Experience in technical incident response and More ❯

improvements and delivering them Be a point of contact for intrusion analysis, forensics and Incident Response queries. Able to provide root cause analysis of non-standard analytic findings and anomaly detections for which a playbook does not yet exist. Responsible for ensuring that during times of reduced capacity that all ADHOC and regular products are completed and are at … used within the Cyber Threat Intelligence Domain, Including the Cyber Kill Chain and MITRE ATT&CK Development of new analytics and playbooks that result in creation of new detection rules/analytics Requirements Technical 3+ years' experience in Cyber Threat Intelligence, and conducting research and investigating cyber threats in a technical capacity Experience in technical incident response and More ❯

Requirements • Experience in identifying opportunities 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 ❯

and scenarios comply with all model governance standards, with detailed metrics and reporting to ensure transparency and effectiveness Identify and evaluate emerging technologies to enhance the Bank's detection capabilities, including internal or vendor solutions Represent the function in regulatory discussions, audits, and internal committees; travel may be required Skills and experience required Relevant experience in financial services … and TS), with experience in platforms like Actimize, Fircosoft, or similar Proficiency in model development languages and tools (Python, SQL, R) Knowledge of machine learning techniques for tuning or anomaly detection is a plus Understanding of sanctions screening, AML risk typologies, and financial crime regulations Support provided Training and development programs Culture of continuous learning and career More ❯

we can shape the future world of print! Role Overview Join our evolving data team at The Printed Group. You'll build and deploy ML models for personalisation, recommendations, anomaly detection, and insights-all while following best practices in ML Ops and leveraging AI-powered tools to boost your productivity. Our Tech Stack Data Pipeline: Data sources … Databricks/Lambda → S3 (Delta format)/Embedded → Reporting/Notifications Infrastructure: AWS cloud managed via Terraform. Responsibilities Develop & Deploy ML Models: Build models that power personalisation, recommendations, and anomaly detection. Implement ML Ops: Set up continuous integration, monitoring, and automated retraining for production models. Leverage AI Tools: Use AI-powered coding assistants (e.g., Cursor, Copilot) to enhance development More ❯

metrics & reporting are developed to provide transparency and maintain effectiveness of models Identify and assess new and emerging technologies that can be used to enhance the Bank's detection, through internal or vendor solutions Represent the function in regulatory discussions, audits, and internal committees. Travel likely to be required Your skills and experience Previous relevant experience in financial … Actimize, Fircosoft, or equivalent platforms Strong command of model development languages and tools (such as Python, SQL, R) Familiarity with machine learning techniques in the context of tuning or anomaly detection is a plus Solid understanding of sanctions screening, Anti-Money Laundering (AML) risk typologies, and financial crime regulations How we'll support you Training and development More ❯

smart tools for our Newsroom, the design of a robust Observability system to monitor every step of our automated pipelines and ensure data governance, and the creation of an Anomaly Detection system to intelligently identify and address data anomalies for our clients. These projects aim to improve transparency, precision, and innovation in our workflows. You’ll Need More ❯

and efficiency. Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency. Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models. What You’ll Bring You will More ❯

Grade: GG10 - GG11 Job Description: Serve as the point of escalation for intrusion analysis, forensics, and incident response queries. Provide root cause analysis for complex, non-standard findings and anomaly detections. Mentor team members and share knowledge via the SOC Knowledge Repository. Build relationships with external SOCs and cybersecurity researchers to identify useful analytics and threat intelligence. Develop complex … KQL analytics and playbooks for detection in M365, Linux, and Windows environments. Review open-source research on threats impacting cloud services and prioritize implementation. Research vulnerabilities, produce proof-of-concept exploits, and emulate adversary TTPs for training and detection testing. Review red team and pentest findings to improve detection rules. Support forensic investigations and … practices and techniques. Knowledge of Azure, AWS is desirable. Familiarity with Windows Active Directory, Windows OS fundamentals, and networking fundamentals. Experience with CICD, source control, and writing malware and anomaly detections. Use of statistical methods for anomaly detection. Practical expertise in Microsoft Sentinel/XDR and complex KQL analytics. Strong knowledge of current security threats and threat prioritization More ❯

other SOCs and cybersecurity researchers to identify analytics, threat intelligence, and tradecraft that benefit the Blue Team. Communicate funding and prioritization suggestions and lead implementation when needed. Develop complex, anomaly-based KQL analytics and playbooks for detection in M365, Linux, and Windows environments. Review open-source research on threats affecting cloud services and VMs, prioritizing and implementing … relevant findings. Research vulnerabilities, produce proof-of-concept exploits, and emulate adversary TTPs for training and detection evaluation. Review red team and pentest findings to improve detection rules. Provide forensic support and threat emulation to improve alert triage and accuracy. Identify gaps in SOC processes, data collection, and analysis, demonstrating the need for improvements through scenarios … AWS knowledge preferred. Understanding of Windows Active Directory and Windows OS fundamentals. Networking fundamentals experience. Experience with CI/CD and source control systems. Experience in developing malware and anomaly detections. Use of statistical methods for anomaly detection. Proficiency with Microsoft Sentinel and/or XDR. Strong skills in writing complex KQL analytics/searches. Awareness of current More ❯