76 to 98 of 98 Anomaly Detection Jobs in London

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 ❯

Use these findings to educate and raise awareness within the Microsoft Security Community Qualifications: • Experience in identifying security vulnerabilities, software development lifecycle, large-scale computing, modeling, cyber security, and anomaly detection. • Experience on penetration testing/red-teaming, cloud, services and network security. • Strong coding skills, including any of the following languages: C#, Python, C++, Go, PowerShell, ASP.NET, JavaScript More ❯

with a strong focus on performance, explainability, and cost-efficiency. What You'll Bring: Deep applied experience in ML/DL , with bonus points for work in threat detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong … experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of threat intelligence integration and MCP architectures Location: Hybrid - 2 days More ❯

with a strong focus on performance, explainability, and cost-efficiency. What You'll Bring: Deep applied experience in ML/DL , with bonus points for work in threat detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong experience … in Back End engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of threat intelligence integration and MCP architectures Location: Hybrid - 2 days More ❯

client's project based at Birmingham/London, UK – 3 day per week Onsite Role Overview An Elastic Security Specialist is responsible for designing, implementing, and maintaining security detection, alerting, and response capabilities using the Elastic Stack. You will work cross-functionally with SOC teams, threat hunters, and engineers to translate adversary behaviours into automated detection rules, build investigative workflows, and integrate Elastic Security with external security tools. Key Responsibilities Detection Engineering Author and optimize detection rules in Elastic Security (EQL, Rule DSL, Sigma-to-ES mappings). Develop look-back and schedule intervals, ensuring coverage of varied threat actor behaviours. Tune rule thresholds and enrich alerts with contextual data … SOC monitoring. Integration & Automation Integrate Elastic Security with endpoint agents (Elastic Agent, Beats), EDR platforms, and threat intel feeds. Automate incident enrichment using Ingest Pipelines, transforms, and Machine Learning anomaly detection jobs. Platform Hardening & Scaling Advise on cluster sizing, index lifecycle management (ILM), snapshot/restore strategies for long-term data retention. Implement RBAC, field- and document More ❯

client's project based at Birmingham/London, UK – 3 day per week Onsite Role Overview An Elastic Security Specialist is responsible for designing, implementing, and maintaining security detection, alerting, and response capabilities using the Elastic Stack. You will work cross-functionally with SOC teams, threat hunters, and engineers to translate adversary behaviours into automated detection rules, build investigative workflows, and integrate Elastic Security with external security tools. Key Responsibilities Detection Engineering Author and optimize detection rules in Elastic Security (EQL, Rule DSL, Sigma-to-ES mappings). Develop look-back and schedule intervals, ensuring coverage of varied threat actor behaviours. Tune rule thresholds and enrich alerts with contextual data … SOC monitoring. Integration & Automation Integrate Elastic Security with endpoint agents (Elastic Agent, Beats), EDR platforms, and threat intel feeds. Automate incident enrichment using Ingest Pipelines, transforms, and Machine Learning anomaly detection jobs. Platform Hardening & Scaling Advise on cluster sizing, index lifecycle management (ILM), snapshot/restore strategies for long-term data retention. Implement RBAC, field- and document More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces … , malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring. 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.) Proficient in a major backend language (ideally More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces … , malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring. 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.) Proficient in a major backend language (ideally More ❯

with a high likelihood of extension Start date: Ideally immediate, but they may wait up to 4 weeks for the right candidate Skills required: NLP, Modelling, Python, SQL, Databricks, Anomaly Detection You will join their customer security team, which uses machine learning to detect anomalies and suspicious activity on customer accounts. Your role will involve building models More ❯

including video understanding and summarisation Cloud based audio processing systems Audio transcription, sentiment analysis, emotion evaluation Building scalable and efficient cloud-native infrastructure for processing, streaming, and analyzing audio Anomaly detection machine learning libraries Utilizing unsupervised and semi-supervised techniques to identify anomalies, detect unusual patterns, and cluster behaviors in audio and video data. Edge ML/… detection models for audio and video applications with real-time constraints Computer vision, object detection, facial recognition Audio processing and understanding, event detection Security incident generation and alert escalation What we’re looking for Ability to investigate, debug, and select the correct machine learning algorithms or AI approach depending on the features criteria and More ❯

Deliveroo/Uber/JustEat) Build self-serve dashboards for kitchens and food brands Greenfield: AI food quality control (models + Mechanical Turk) Greenfield: AI & gamified kitchen management Greenfield: Anomaly detection Greenfield: Performance marketing optimization (multi-armed bandits) Ideal candidate traits: Fast, curious, hands-on Hungry to scale real-world systems Enjoys hackathons Likes food Benefits: Generous More ❯

our portfolio of investments Doing ad-hoc analysis and presenting results in a clear manner Presenting findings and recommendations to stakeholders in a clear and concise manner Creating automated anomaly detection systems and constant tracking of its performance Protecting data to ensure its confidentiality to the most stringent standards and divulging information on a need-to-know More ❯

our portfolio of investments Doing ad-hoc analysis and presenting results in a clear manner Presenting findings and recommendations to stakeholders in a clear and concise manner Creating automated anomaly detection systems and constant tracking of its performance Protecting data to ensure its confidentiality to the most stringent standards and divulging information on a need-to-know More ❯

on a highly visible team with leadership opportunities and significant ownership of strategic initiatives. In this role, you will: Build and evolve products for fleet security (e.g. theft detection, engine immobilization) and public sector operations (e.g. asset planning, route insights) Use AI and data to deliver insights that help customers optimize fleet usage and improve safety Work directly … customer insights to go-to-market An ideal candidate also has: Experience in IoT, fleet/telematics, security, or public sector tech Familiarity with AI/ML features or anomaly detection Startup or high-growth company experience Location: Preferred: United Kingdom (close collaboration with our engineering team in Poland). Samsara’s Compensation Philosophy: Samsara’s compensation More ❯

about AI, developer tooling, and 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 opportunities to integrate AI features More ❯

payroll data and processes to identify opportunities for ML/AI-driven automation and optimization Design, develop, and deploy scalable ML models and algorithms to automate payroll compliance checks, anomaly detection, and reporting Collaborate cross-functionally with payroll, finance, and technology teams to understand business requirements and translate them into effective AI/ML solutions Continuously monitor More ❯

ll bring to the role Deep hands-on experience crafting and deploying robust threat intelligence models, systems, and controls within dynamic, high-growth environments. Expertise in leveraging risk modeling, anomaly detection, and behavioral analysis to proactively identify and neutralize emerging threats across various vectors. Demonstrated ability to effectively collaborate and communicate across teams, translating complex intelligence into More ❯

features for accuracy and relevance Provide input on: Common workflows for mainly small but also mid-sized businesses (e.g. cashflow, month-end close) Data needed for forecasting, reporting, or anomaly detection Edge cases, limitations, and realistic expectations around automation Contribute to user research planning, interviews, and testing when needed Help translate technical product ideas into accounting-relevant … goals Strong communicator: can explain financial concepts to non-experts Open to collaborating with product managers, engineers, and designers Nice to Have Exposure to AI tools in finance (e.g. anomaly detection, categorisation, forecasting models) Experience working in or with software companies or digital tools Understanding of APIs, data integrations, or how financial systems connect All profiles will More ❯

features for accuracy and relevance Provide input on: Common workflows for mainly small but also mid-sized businesses (e.g. cashflow, month-end close) Data needed for forecasting, reporting, or anomaly detection Edge cases, limitations, and realistic expectations around automation Contribute to user research planning, interviews, and testing when needed Help translate technical product ideas into accounting-relevant … goals Strong communicator: can explain financial concepts to non-experts Open to collaborating with product managers, engineers, and designers Nice to Have Exposure to AI tools in finance (e.g. anomaly detection, categorisation, forecasting models) Experience working in or with software companies or digital tools Understanding of APIs, data integrations, or how financial systems connect All profiles will 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 ❯

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 ❯

an experienced Business Analyst to support compliance with the Digital Operational Resilience Act (DORA) and related regulations (eg, SS2-21 ). The focus is on enhancing Anomalous Activity Detection and Systems Monitoring to improve resilience against ICT-related disruptions. The role spans both banking and securities entities, helping align systems, policies, and reporting with regulatory standards while supporting … operational continuity. Key Responsibilities Identify monitoring and detection gaps across critical systems and services Map critical functions to current monitoring configurations; define uplift plans Align procedures and standards with DORA requirements Collaborate with tooling and tech teams to implement resilience controls Analyse Regulatory and Implementation Technical Standards Develop requirements documents and support the full project life cycle Ensure … dual-entity responsibilities Experience & Skills Required: 5+ years' experience as a Business Analyst in financial services or consulting Strong understanding of DORA and ICT operational resilience Experience in cyber anomaly detection and systems monitoring Skilled in tools such as JIRA, ServiceNow, Microsoft Office Preferred: Familiarity with EBA, PRA, and ESMA regulatory frameworks Knowledge of ITIL and tech More ❯