18 of 18 Permanent Anomaly Detection Jobs in the UK excluding London

financial gain, and their tactics are constantly evolving. At Kantar, we are committed to staying ahead of these threats by investing in advanced data science solutions and fraud detection technologies. This is a high-impact role with the opportunity to collaborate directly with Operational, Commercial, and Data Science leaders. You'll be part of a talented team of … including senior commercial leaders. What You'll Bring 5+ years of experience in data science, including programming, data mining, and statistical analysis. Proven experience in fraud detection, anomaly detection, or similar quality assurance domains. Strong proficiency in Python and SQL; experience with R is a plus. Solid understanding of statistical techniques and machine learning algorithms. More ❯

in establishing alerting and monitoring systems for MID health, dispute thresholds, retry logic, and processing costs. You will also help evaluate and implement emerging AI tools for proactive debugging, anomaly detection, and operational optimization. This is a high-impact, highly collaborative role that demands strong technical fluency, hands-on data skills, and the ability to think ahead … for Reliability & Continuity: Document fallback scenarios and potential vendor replacements. Track SLAs, vendor performance, and incidents to support business continuity planning. Champion Observability and AI Adoption: Deploy AI-based anomaly detection and observability tooling. Leverage AI tools like Cursor to interrogate code repositories and surface root causes faster. Collaborate Across Teams and Vendors: Act as the point More ❯

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £160,000+ - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering … written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent More ❯

from a few days to a few weeks. We are particularly interested in candidates who bring experience or a strong interest in leveraging AI tools such as code generation, anomaly detection, or intelligent automation - to improve the efficiency, quality, and scalability of data pipelines and development workflows. Once established in the role, we expect you to make 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: Remote Salary: Up More ❯

Grafana and Elastic Stack (ELK) Hands-on experience with BMC Helix Operations Manager, TrueSight, or similar enterprise monitoring platforms Solid understanding of AIOps concepts, including event correlation, noise reduction, anomaly detection, and root cause analysis Strong proficiency with scripting (e.g., Python, PowerShell, Bash) for automation and data handling Solid understanding of networking fundamentals Excellent problem-solving skills More ❯

using Power BI and Salesforce Analytics (CRMA). Analyse commercial and operational data to generate actionable insights. AI & Digital Tools Leverage AI-based solutions (e.g. predictive analytics, automated insights, anomaly detection) to improve performance tracking, decision-making and process optimisation. Explore opportunities to automate routine reports and processes. Stay informed on emerging tools and help integrate them More ❯

the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Design and implement robust time series models for forecasting, anomaly detection, and predictive maintenance. Collaborate with product and engineering teams to integrate predictive models into live quantum sensors. Evaluate performance of deployed models and develop tools/ 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 ❯

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 ❯

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 developing and implementing methods for removing magnetic and/or vibrational noise induced by the platform on which the quantum … a closely related discipline; Experience performing data analysis, algorithmic development, and/or digital signal processing in one or more of the following areas: magnetic and/or gravitational anomaly detection; airborne magnetic and/or gravitational surveying; magnetic navigation; magnetic signature and/or platform motional characterisation and management; magnetic and/or vibrational signal denoising More ❯

analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. 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 ❯

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 ❯

ability to propel important work streams which could range from supporting the build out of our threat hunting and operations capabilities, improving our playbooks and breach response, to Cloud anomaly detection and response. This is a great opportunity to learn and develop within a forward-thinking DevSecOps focused team. You'll be provided with technical training for 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 ❯

and monitoring rulesJoin workshops with third-party vendors to align on observability best practices Technical Requirements: Strong hands-on experience with Dynatrace in the following areas: Application Performance Monitoring Anomaly detection and alerting Synthetic monitoring and log monitoring Real User Monitoring across web and mobile Dynatrace Query Language DQL and Grail for data analysis API integration with 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 ❯