1 to 25 of 40 Permanent Anomaly Detection Jobs in London

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 … machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing: Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research More ❯

e.g., OpenTelemetry, Prometheus, Grafana, Splunk, Datadog). Establish SLOs, SLIs, and error budgets with product and engineering teams. Drive root cause identification using distributed tracing, advanced log analysis, and anomaly detection. Security, Audit & Compliance Partner with security and compliance teams to embed controls into infrastructure and software delivery. Automate audit evidence collection, change tracking, and access management (e.g., HashiCorp 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 … is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Staff Machine Learning Engineer 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 ❯

datasets from AIS feeds, market data, satellite imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs 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 ❯

z2bz0 years of 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., 510(k), De Novo), and standards like More ❯

field 3–5+ years of 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., 510(k), De Novo), and standards 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 … is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Staff Machine Learning Engineer 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 ❯

extensive amounts of data to 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, focus on strategic business KPIs … other managers to collaborate and 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 end-to-end fraud solutions. More ❯

Maintain and optimise 60 Python pipelines, refactoring legacy code into modular components. Keep Power BI dashboards accurate and up to date, supporting evolving business needs. Help implement validation and anomaly detection within their pipelines to ensure data integrity. Manage Git workflows and assist in setting up lightweight deployment pipelines. Maintain clear, up-to-date records of code More ❯

security outcomes, reduce costs, and increase program effectiveness. Uphold company culture and values. Qualifications Required Qualifications: Multiple years of experience in software development lifecycle, large-scale computing, modeling, cybersecurity, anomaly detection, SOC detection, threat analytics, SIEM, IT, and incident response. OR a Bachelor's Degree in Statistics, Mathematics, Computer Science, or a related field. Preferred … Qualifications: Multiple years of experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and anomaly detection. OR a Master's Degree in Statistics, Mathematics, Computer Science, or a related field. Certifications such as Lenel, CISSP, CISA, CISM, SANS, GCIA, GCIH, OSCP, Security+. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration without regard to age More ❯

team that’s pushing the 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. Innovative Culture: Be part of More ❯

controls that require technical proficiency as well as tenacity, professionalism, and strong communication skills. Responsibilities Security Analytics - Efficiently distill actionable information from large data sets for reporting, hunting, and anomaly detection Incident Management - Detect, document, investigate, and resolve security incidents in an efficient manner Endpoint Forensics - Construct meaningful incident timelines from forensic artifact analysis Counter Measures - Ability … that evade traditional security controls Behavioral Analysis -Develop and implement criteria to identify anomalous user behavior leading indicating insider threat activity Intrusion Detection - Develop and tune network anomaly control capability to produce reliable actionable data Threat Hunting - Proactively search for unknown threats within the environment. Knowledge and Experience University degree in related discipline 1+ years of relevant More ❯

role in low-latency environments. Experience with network automation tools and frameworks, including Python, Ansible, or similar technologies. Experience leveraging AI/ML-driven tools for network performance optimization, anomaly detection, and predictive analytics. Understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in network automation and monitoring. Experience with telemetry and More ❯

team that’s pushing the 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. Innovative Culture: Be part of More ❯

is designed, developed, tested, and maintained. This unit will explore the integration of AI tools and techniques—such as large language models, code generation systems, automated testing frameworks, and anomaly detection algorithms—throughout the entire SDLC. The goal is to increase development speed, improve code quality, reduce human error, and enable predictive maintenance. Key use cases, to … be prioritized during the project, also based on the industry needs, include AI-assisted coding, intelligent requirement analysis, automated bug detection and resolution, continuous integration optimization, and AI-driven documentation. Each unit will be at the frontier between fundamental AI methodologies and their rapid, scalable deployment in industrial environments. The goal: create high-impact, market-ready solutions while More ❯

is designed, developed, tested, and maintained. This unit will explore the integration of AI tools and techniques—such as large language models, code generation systems, automated testing frameworks, and anomaly detection algorithms—throughout the entire SDLC. The goal is to increase development speed, improve code quality, reduce human error, and enable predictive maintenance. Key use cases, to … be prioritized during the project, also based on the industry needs, include AI-assisted coding, intelligent requirement analysis, automated bug detection and resolution, continuous integration optimization, and AI-driven documentation. Each unit will be at the frontier between fundamental AI methodologies and their rapid, scalable deployment in industrial environments. The goal: create high-impact, market-ready solutions while More ❯

controls that require technical proficiency as well as tenacity, professionalism, and strong communication skills. Responsibilities Security Analytics - Efficiently distill actionable information from large data sets for reporting, hunting, and anomaly detection Incident Management - Detect, document, investigate, and resolve security incidents in an efficient manner Endpoint Forensics - Construct meaningful incident timelines from forensic artifact analysis Counter Measures - Ability … that evade traditional security controls Behavioral Analysis - Develop and implement criteria to identify anomalous user behavior leading indicating insider threat activity Intrusion Detection - Develop and tune network anomaly control capability to produce reliable actionable data Threat Hunting - Proactively search for unknown threats within the environment. Preferred Knowledge and Experience 3+ years of relevant experience Deep understanding of More ❯

role will also focus on leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and drive down Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) . The ideal candidate will be a visionary technologist with deep expertise in observability, monitoring, and distributed systems, capable of driving strategy … role: Platform Leadership Architect, design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards … tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana Elastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems Knowledge: Strong expertise in designing scalable and reliable systems for high-throughput data collection and processing. Programming Skills: Proficiency in one More ❯

engine (Deliveroo/Uber/JustEat) Build self-serve dashboards for kitchens & food brands Greenfield: AI food quality control (models + Mechanical Turk) Greenfield: AI & Gamified kitchen management Greenfield: Anomaly detection Greenfield: Performance marketing optimisation (multi-armed bandits) Software engineer who is strong on data engineering and integrations Architect profile: ability to define and build stable underlying More ❯

About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large country governments. We've blocked more than 200 million malicious sites and perform takedowns for around one-third of the world's phishing sites. Our purpose, passion, and … should combine deep applied AI/ML expertise , a hands-on and collaborative approach to developing solution architecture, and eventually develop a strong domain knowledge in cyber threat detection and mitigation. The role is highly collaborative, embedding within technical teams to deliver robust, explainable, and impactful AI-based solutions that advance threat detection efficacy and enable … statistical analysis. Massive bonus points if you have experience applying these skills to threat detection, malware analysis, phishing, and/or abuse detection. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Hands-on experience building production -grade AI More ❯

and implement scalable backend services for AI model deployment in secure environments Collaborate with data scientists and defence analysts to productionise ML models (e.g., for threat detection, anomaly detection, autonomous systems, or decision support tools) Build and maintain secure APIs and infrastructure using Python (FastAPI/Flask), Docker, and Kubernetes Contribute to DevSecOps workflows including More ❯

datasets from AIS feeds, market data, satellite imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs More ❯

You have extensive experience in 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 record . You know how … Do you have experience in 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-identification, gender and race We More ❯

transparency FinOps Tools Deployment Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education More ❯