17 of 17 Anomaly Detection Jobs in the UK excluding London

Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimisation: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime ...

Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimisation: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime ...

Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimisation: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime ...

analysis. Work with the Quality team to automate FAI checks, SPC monitoring, supplier performance analysis, and NCR triage. Assist Production with digital work instructions, anomaly detection, and AI-supported training materials. Enterprise-level AI integration: Contribute to long-term AI architecture decisions choosing tools, shaping governance ...

maintain data standards for cleansing, completeness, and accuracy across corporate dataset Pilot and implement AI/ML solutions for data cleansing, validation, and anomaly detection Explore predictive analytics to anticipate data quality issues and client needs Document processes to enable migration from legacy systems Foster agile, collaborative ...

solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills ...

analysis of customer pain points, operational bottlenecks, and repetitive processes. Understanding of AI/ML applications in payroll, HR, finance, or regulated industries (e.g., anomaly detection, predictive analytics, intelligent document processing, compliance checking). Excellent stakeholder management skills and experience working across operations, commercial, marketing, product, professional ...

business development. Mastery of enterprise architecture components, business/IT principles, and organisational processes. Experience applying AI/ML across corporate functions (e.g., financial anomaly detection, HR attrition prediction, procurement spend analytics). Competencies Exceptional analytical, planning, and organisational capabilities, with strong situational awareness and political acumen. ...

visualisations, dashboards, queries, and alerts. You must hold a valid Elastic Certified Analyst certification, with full working knowledge of the competencies it covers, including anomaly detection, dashboard tuning, and timeline analysis Data Ingestion & Log Pipeline Engineering: Build, manage and optimise complex Logstash pipelines, utilising a wide range … troubleshoot Linux-based systems, with command-line fluency and scripting ability (e.g. Bash, Python) to support SIEM operations, log parsing, and agent deployment Detection Engineering & Threat Rules: Develop and tune custom detection rules using ESQL, EQL, and Lucene syntax to identify malicious activity. Use MITRE ...

visualisations, dashboards, queries, and alerts. You must hold a valid Elastic Certified Analyst certification, with full working knowledge of the competencies it covers, including anomaly detection, dashboard tuning, and timeline analysis Data Ingestion & Log Pipeline Engineering: Build, manage and optimise complex Logstash pipelines, utilising a wide range … troubleshoot Linux-based systems, with command-line fluency and scripting ability (e.g. Bash, Python) to support SIEM operations, log parsing, and agent deployment Detection Engineering & Threat Rules: Develop and tune custom detection rules using ESQL, EQL, and Lucene syntax to identify malicious activity. Use MITRE ...

Security Cloud Engineer, CISSP, CISM, or similar. Collaboration experience with MS Teams\Zoom collaboration. Identity AI adoption for risk-based access analytics and behavioural anomaly detection. Should this position be of interest please submit your CV and I will be in contact as required. Guidant, Carbon60, Lorien ...

hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning … front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration ...

hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning … front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration ...

role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly … jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with ...

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 ...

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 ...

safety tools (e.g., Responsible AI Toolbox, Deepchecks) Familiarity with Azure AI Foundry and LLM compliance testing frameworks Prompt injection testing and AI behaviour anomaly detection This is a great role, and an awesome time to join this business as they expand their artificial intelligence team. For more ...