101 to 125 of 208 Anomaly Detection Jobs in the UK

perfectly defined requirements. Experience with time-series techniques such as ARIMA, exponential smoothing or related forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience ...

perfectly defined requirements. Experience with time-series techniques such as ARIMA, exponential smoothing or related forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience ...

SLAs, KPIs, scope, and cost. Leverage AIOps and observability tools (e.g.Dynatrace, Datadog, New Relic, Elastic) to proactivelymonitorservice health and performance. Utilisepredictive alerting and anomaly detection to prevent incidents andoptimisedelivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication Act as the primary ...

dependencies and decisions to Project Managers, customers and relevant stakeholders. AI and Automation: Use approved AI tools and automation techniques to support data profiling, anomaly detection, mapping recommendations, transformation activities and quality checks. Validate outputs through appropriate human review and comply with organisational data security and governance ...

proven ability to optimize model performance for accuracy and efficiency Excellent product intuition, keen eye for design and customer pain point awareness Experience developing anomaly detection and causal inference models At Apple, base pay is one part of our total compensation package and is determined within ...

weigh evidence across application, document, bank, bureau, dealer and vehicle data, flag suspicious cases and explain why. Develop the models underneath - Build fraud classifiers, anomaly detection, document intelligence and network analysis to uncover linked applications, synthetic identities and dealer collusion. Ship it to production - Own deployment ...

perfectly defined requirements. Experience with time-series techniques such as ARIMA, exponential smoothing or related forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience ...

pipelines. Build tools for automated quality assurance and data exploration. Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. Mentor colleagues ...

pipelines. Build tools for automated quality assurance and data exploration. Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. Mentor colleagues ...

optimisation initiatives by helping analyse resource utilisation, configuration efficiency, tagging hygiene, and commitment strategies. Advanced Analytics Support: Assist in producing usage trend analysis, anomaly detection, forecasting support, and cost modelling for customer accounts. Reporting & Dashboards: Prepare and maintain financial reports, dashboards, optimisation summaries, and KPI metrics ...

optimisation initiatives by helping analyse resource utilisation, configuration efficiency, tagging hygiene, and commitment strategies. Advanced Analytics Support: Assist in producing usage trend analysis, anomaly detection, forecasting support, and cost modelling for customer accounts. Reporting & Dashboards: Prepare and maintain financial reports, dashboards, optimisation summaries, and KPI metrics ...

large remit, and we expect AI-assisted development to be embedded in how we work Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring Stay current with AI developments in the data engineering space and bring new approaches into the team ...

optimisation initiatives by helping analyse resource utilisation, configuration efficiency, tagging hygiene, and commitment strategies. Advanced Analytics Support: Assist in producing usage trend analysis, anomaly detection, forecasting support, and cost modelling for customer accounts. Reporting & Dashboards: Prepare and maintain financial reports, dashboards, optimisation summaries, and KPI metrics ...

finance people who use them on what they need. AI on the platform. This is where financial data turns into decisions: predictive forecasting, anomaly detection, AI‐generated commentary and agentic workflows among the use cases, along with the human‐in‐the‐loop controls that keep finance ...

Automation: Select, implement and manage FinOps tooling (native cloud cost management tools, third‐party platforms, BI and reporting tools). Drive automation of reporting, anomaly detection, budget alerts and policy enforcement. Governance, Risk and Compliance: Ensure that financial controls, audit requirements and internal policies are met. Collaborate ...

agent implementation. Design and implement AI‐powered features within Compensation Collection, Shadow Payroll, and Equity products including intelligent data extraction from compensation statements, anomaly detection on payroll inputs, LLM‐assisted user workflows, and retrieval‐augmented generation (RAG) over tax and payroll guidance. Evaluate, integrate, and operationalize ...

dataset or collection from nothing, including the unglamorous parts: schema decisions, quality checks, and maintenance. Blockchain or on chain data experience: clustering, attribution, heuristics, anomaly detection, mempool analysis, or research into privacy preserving systems. Experience in payments, fraud or risk data science, where the cost ...

protection, access controls and approval workflows. Partner with Product to embed AI capabilities into the Neo product portfolio (e.g. intelligent automation, decision support, anomaly detection and AI-driven insights for air-cargo customers), and own the platform foundations (data, MLOps/AI tooling, inference hosting and cost ...

that strengthen our data foundations - ensuring our data is accurate, observable, and compliant. Your mission will be to reduce the mean time to detection and resolution of data incidents, by establishing data contracts between producers and consumers, developing robust data observability systems, and embedding governance and GDPR compliance … bridge technical depth with operational impact. Bonus Points Experience implementing automated compliance monitoring or policy-as-code systems. Familiarity with real-time anomaly detection for data pipelines. Experience contributing to or leading cross-functional data reliability initiatives. Prior experience in consumer or marketplace platforms. Passion for data ...

handling for opt-in contributors, and secure adoption of tooling built with external research partners. Monitoring and detection. Audit-log ingestion to our SIEM, anomaly detection on identity and workload behaviour, and egress monitoring across the cluster and the unified layer, so misuse or exfiltration attempts surface … following: Deep Linux systems-security experience on multi-user/HPC infrastructure (kernel/OS hardening, privileged access, host isolation, host-based detection). You also work fluently with Terraform and CI/CD systems (GitHub Actions, GitLab CI) writing the infrastructure-as-code that enforces your security ...

BigQuery, to identify scraping, bot activity and unauthorised content extraction using fingerprint analysis, behavioural signals and network dataBuild and maintain a portfolio of detection signals and continuously evolve them as threat actors change their tacticsMeasure detection performance through coverage, precision, false-positive rates and baseline benchmarkingQuantify … systems or scholarly communicationsExperience with modern data transformation tooling such as Dataform or dbtExperience developing classification or machine learning models for user behaviour analysis, anomaly detection or segmentationExperience measuring the impact of external platforms on traffic, engagement, discoverability and commercial outcomes #J-18808-Ljbffr ...

boto3, S3, Parquet). Data visualisation with Plotly, Matplotlib or Seaborn. Experience with Docker, Kubernetes, CI/CD and pytest. Knowledge of statistical analysis, anomaly detection and time-series analytics. Understanding of mobile app KPIs, iOS/Android analytics, app performance and stability. Experience with layered architectures ...

nulls, and duplicate records. CI/CD Quality Gates: Integrate automated testing and data validation checks into Azure DevOps (ADO) deployment pipelines. Schema Drift & Anomaly Detection: Monitor and resolve schema evolution, edge-case discrepancies, and late-arriving financial records. Required Experience & Skills Experience testing data extracted from ...

data transformation-heavy pipelines from data-profiling to cleansing to standardization, conformance and publishing Advanced knowledge of SQL for profiling, joins/merges, deduplication, anomaly detection, and performance tuning Scripting knowledge in Python for automation, parsing, rules engines, and data quality checks, ability to write maintainable code. ...

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. ...