126 to 150 of 165 Anomaly Detection Jobs in the UK

Media player, Audio/Video streaming protocols , Web browser, HDMI, Bluetooth, WiFi/Ethernet Diagnosing and resolving issues using Linux systems and networking protocols, including packet capture analysis Develop anomaly detection techniques and data-driven solutions to identify and address system issues. Deep-dive analysis of RDK middleware issues, including source code review, to identify root causes More ❯

from the billions of data points we ingest. You will work closely with the product and engineering team to: Develop and maintain our services monitoring system, including work on anomaly detection. Improve efficiency and decrease costs within our pipelines for health data handling/storage. Build models to extract actionable insights requested from customers from Health Data. As a 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 ❯

environments. You will work closely with experts in quantum sensing to develop quantum magnetometry technology that will solve pressing challenges in aeronautical positioning and navigation, geophysical surveying, and magnetic anomaly detection. A key focus of the role will be to perform numerical modelling of optically-pumped atomic magnetometers, as well as related signal processing tasks, aimed at improving magnetometer 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 ❯

high likelihood of extension Start date: Ideally immediate (they may be able to wait up to 4 weeks for someone to start) Skills required: NLP, Modelling, Python, SQL, Databricks, Anomaly Detection You will be joining their customer security team, which uses machine learning to detect anomalies and erroneous activity on customer accounts. Your role will involve building More ❯

day Status: Outside IR35 Start date: Ideally immediate (they may be able to wait up to 4 weeks for someone to start) Skills required : NLP, Modelling, Python, SQL, Databricks, Anomaly Detection Desirable: Image Classification, Airflow, Pyspark You will be joining their customer security team, which uses machine learning to detect anomalies and erroneous activity on customer accounts. More ❯

months, with a high likelihood of extension Start date: Ideally immediate (they may wait up to 4 weeks for a start) Skills required: NLP, Modelling, Python, SQL, Databricks, Anomaly Detection You will be joining their customer security team, which uses machine learning to detect anomalies and erroneous activity on customer accounts. Your role involves building models to More ❯

high likelihood of extension Start date: Ideally immediate (they may be able to wait up to 4 weeks for someone to start) Skills required : NLP, Modelling, Python, SQL, Databricks, Anomaly Detection You will be joining their customer security team, which uses machine learning to detect anomalies and erroneous activity on customer accounts. You will be building models More ❯

months, with a high likelihood of extension Start date: Ideally immediate (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 erroneous activity on customer accounts. Your role will involve building models 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 ❯

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

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

UK 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 … , 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 ❯

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 ❯

or more organisational environments such as enterprise, edge/deployed environments or cloud . Demonstrable knowledge of cyber detection (e.g., threat identification/intelligence, real-time monitoring, anomaly detection) and cyber response (e.g. incident response, eradication and remediation, recovery, post-incident analysis). DevSecOps. Zero Trust Architecture (ZTA) expertise for enterprise, cloud and air-gapped 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 ❯