15 of 15 Permanent Anomaly Detection Jobs in London

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

what you build from design through to deployment and iteration. What You'll Be Doing Designing and building AI agent systems for threat detection, behavioural correlation, sensitive data classification, and automated security response Developing and fine-tuning LLMs and ML models that run reliably in production Building … doing and why, to engineers and non-technical stakeholders alike Bonus if you have worked in cybersecurity domains (DLP, PII detection, anomaly detection), have built multi-step reasoning systems, or have spent time directly with customers understanding a problem domain. Why Apply? The category ...

metrics Documenting assumptions and ensuring outputs are reproducible Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA) Improving data quality: reconciliation, anomaly detection, root-cause analysis, and automated checks Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented ...

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 … collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: Lead the development and optimization of 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 ...

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 ...

running experiments, and deploying scalable solutions using modern cloud and MLOps tooling. Key Responsibilities Include: Designing and developing machine learning models (e.g. classification, forecasting, anomaly detection) Supporting experimentation cycles: hypothesis definition, testing, and evaluation Contributing to the deployment of models into production environments Building and maintaining ...

clients to scope, design, and deliver operationally-ready AI and ML solutions Key Responsibilities: Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly Transition validated experiments into production-ready ...

Puppeteer, or equivalents Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems Comfort working with asynchronous and concurrent scraping architectures Experience operating scrapers at scale in cloud environments Strong debugging skills and the ability … with containerisation and orchestration tools such as Docker and Kubernetes Experience with distributed task systems and job queues Background in data quality monitoring and anomaly detection Experience working with search, advertising, or competitive intelligence datasets To apply for this role please submit your CV or contact Dillon ...

Puppeteer, or equivalents Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems Comfort working with asynchronous and concurrent scraping architectures Experience operating scrapers at scale in cloud environments Strong debugging skills and the ability … with containerisation and orchestration tools such as Docker and Kubernetes Experience with distributed task systems and job queues Background in data quality monitoring and anomaly detection Experience working with search, advertising, or competitive intelligence datasets To apply for this role please submit your CV or contact Dillon ...

hybrid working basis with a non-negotiable two days per week in their London office. Responsibilities: Develop and implement machine learning models (ie anomaly detection, classification) to identify patterns indicating malicious activity, malware, or insider threats Clean normalise, and manage massive datasets from disparate security systems (SIEM … documentation of activities, findings, and lessons learned Assess emerging threats against our operational environment and work in partnership with our security teams for detection, mitigation, and remediation efforts Perform trend and correlation of cyber intelligence for recommendation-based countermeasures Support and engage in incident response investigations Review other ...

audio software Work with generative AI tools and contribute to prompt engineering for intelligent media processing Collaborate with experienced engineers to design systems for anomaly detection, audio transcription, and event-based alerts Shape early-stage infrastructure for analysing and streaming audio/video data at scale Optimise ...

Embed Zero Trust and least privilege principles across enterprise systems and privileged roles. Develop and automate identity governance processes, leveraging AI/ML for anomaly detection and remediation. Oversee Conditional Access, risk-based authentication, and device/state-based access controls. Integrate IAM with ...

whitepapers , contributing to product strategy Familiarity with security audits , RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring , with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands ...

alerting workflows. Experience with streaming telemetry, including tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Exposure to AI or ML-driven monitoring, anomaly detection or predictive fault identification. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Comfortable working independently ...

Monitor and evaluate emerging IAM trends (e.g., passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response (ITDR) solutions. ...