126 to 150 of 178 Anomaly Detection Jobs in England

points, digital adoption challenges, and operational inefficiencies. Provide clear, actionable recommendations. Advance AI-native analytics Use Gen AI tools for automated insight generation, summarisation, anomaly detection, and workflow optimisation. Support experimentation & continuous improvement Analyse A/B tests and digital experience performance, quantifying customer and business impact. ...

actionable recommendations that improve customer journeys. Advancing AI-native analytics : Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation — helping the team move faster and deliver more scalable, proactive insights. ...

Site Reliability Engineering (SRE) maturity, embedding monitoring, observability, automated testing and structured incident response Drive adoption of automation and AI‐enabled tooling to improve anomaly detection, incident management, vulnerability management and operational efficiency Provide technical oversight of production operations, ensuring alignment between platform standards and operational support ...

Linux shell experience, and proficiency with Python, Bash, and automation tools such as Ansible Experience applying AI/ML tools to network performance optimization, anomaly detection, and predictive analytics, with an understanding of frameworks such as TensorFlow, PyTorch, and scikit‐learn Experience using telemetry and observability frameworks ...

manufacturing or process industries. • Knowledge of chemometrics, including PLS, PCA, spectral preprocessing or calibration development. • Experience with spectroscopy or analytical instrumentation. • Time-series analytics, anomaly detection or industrial process optimisation. • Familiarity with Azure-based data and analytics environments. The Person We're Looking For We value potential ...

development or maintenance of research software, including graphical interfaces or dashboards for real‐time measurements Statistical modelling, multivariate analysis or machine learning (regression, classification, anomaly detection) Time‐series or high‐frequency sensor data analysis Deploying algorithms into desktop, embedded or instrument‐based production software Establishing reproducible data ...

frameworks, and tooling, with the ability to apply them pragmatically in line with client needs.Understands where AI meaningfully enhances backend systems (e.g., classification, summarisation, anomaly detection) versus where traditional algorithms are more appropriate.Consulting & Client DeliveryExperience working in a consulting or client-facing environment, comfortable operating in ambiguous ...

packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality ...

committed. Provide feedback on AI model outputs to support continuous improvement of match accuracy, classification quality, and enrichment relevance. Work with AI-driven anomaly detection alerts, investigating flagged records and determining appropriate stewardship actions. Data quality monitoring and remediation Monitor data quality dashboards and alerts, investigating exceptions ...

projects. Familiarity with industrial automation systems (e.g., DCS, PLC, OPC, historian systems). Understanding of AI/ML applications in process control (forecasting, optimisation, anomaly detection) is a plus. Comfortable collaborating with operators, engineers, and data scientists — bridging industrial know‐how with data‐driven insights. Analytical ...

packs; track benefits realization versus plan and highlight trade-offs. AI-Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design-controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality ...

platform integration issues within monitoring environments while supporting ITIL-aligned incident management processes. Practical knowledge deploying OneAgent/ActiveGate components plus configuring alerting policies anomaly detection rules dashboards custom reporting. Experience integrating Dynatrace with ServiceNow or equivalent ITSM platforms using APIs for administration reporting automation. Working knowledge ...

scale, including REST, OData,GraphQL, and webhook/event patterns into ERP-class systems What sets candidates apart Classical ML depth alongside GenAI: forecasting, anomaly detection,predicTherole This is a hands‐on architect role that grows into a player‐coach role. You will start as the senior ...

cybersecurity threat detection that scales across billions of events and integrates with analysts’ workflows. You will build analyst dashboards, ML models for anomaly detection and threat classification, and data pipelines for real-time ML insights. Expect collaboration with security researchers and fast iteration ...

Plans (SP), Spot Instances, and architectural refactoring for cost efficiency. Budget Governance Establish automated cost allocation tagging, departmental chargeback models, and real-time budget anomaly alerts to ensure rigorous cloud financial governance. Primary Vendor Liaison Act as the single point of contact and project lead between our internal technical … Knowledge Strong understanding of AWS cloud services and cost structures. Proven track record of successfully using AWS cost management tools (Cost Explorer, Cost Anomaly Detection, AWS Budgets) to significantly reduce cloud expenditure. Project & Vendor Management Demonstrated experience in managing third-party IT contractors, MSPs (Managed Service Providers ...

Things (IoT) security threats. The post forms part of SAZT-Wi-Fi (Spatial-Aware Zero-Trust Platform for Shadow Wi-Fi IoT Threat Detection), an Innovate UK-funded project developing a standalone, plug-and-play cybersecurity proof of concept for critical infrastructure. About Luton AI Luton … Computer Science, Cybersecurity, AI, Data Science, Electronic Engineering or a related discipline. Strong Python software development skills and knowledge of machine learning for anomaly detection or classification. An understanding of Wi-Fi/network telemetry and cybersecurity, with practical experience analysing wireless or network data. Experience developing ...

interfaces between hardware and cloud Apply AI where it adds real value, using Copilot Studio, AI Builder, Azure OpenAI and Azure ML for anomaly detection, classification, summarisation and intelligent assistants Prototype quickly, get working versions in front of users early and iterate on their feedback Build ...

experience with R and/or Python Solid understanding of core methods: classification, regression, forecasting, clustering, nearest neighbour, neural networks, embeddings, dimensionality reduction and anomaly detection Strong statistical knowledge and the ability to translate complex findings for non‐technical audiences Experience delivering end‐to‐end data science ...

retrieval-augmented generation (RAG) pipelines, develop prompt engineering strategies, and create evaluation frameworks that measure answer quality at scale. You will also work on anomaly detection models, predictive analytics features, and the statistical reasoning capabilities that set Nexalytica apart from simple query translators. This is a high ...

demand, production, assets, projects, workforce, supply chain or capital expenditure. Predictive planning and machine-learning awareness. An understanding of how predictive forecasting, trend analysis, anomaly detection and machine learning can support planning, together with the curiosity to test outputs, question assumptions and explain how insights should ...

operability into delivery pipelines. Improve alert quality by reducing noise, optimising thresholds and linking alerts to actionable runbooks. Support the adoption of AIOps and anomaly detection capabilities to improve service restoration and predictive operations. Help define reliability standards, operational controls and best practices across the technology estate. ...

operability into delivery pipelines. Improve alert quality by reducing noise, optimising thresholds and linking alerts to actionable runbooks. Support the adoption of AIOps and anomaly detection capabilities to improve service restoration and predictive operations. Help define reliability standards, operational controls and best practices across the technology estate. ...

working with customers or external technical stakeholders A relevant STEM degree or equivalent technical experience Knowledge of lithium-ion degradation, battery ageing, state estimation, anomaly detection, remaining useful life prediction or battery safety Experience with battery fleets, telematics, cloud analytics, predictive maintenance, condition monitoring or field performance ...

Computer Security, or related field AND experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR equivalent experience.Additional or preferred qualificationsProven knowledge of security fundamentals across Microsoft platforms (Client, Server, Cloud)Strong understanding of malware ...

programme, and you will also build the agents and workflows that remove manual effort from it: query mining, ad copy generation and QA, anomaly detection, reporting, and test analysis. You will work with our internal teams to set-up, manage and optimize campaigns with AI agents ...