76 to 100 of 171 Anomaly Detection Jobs in England

comparisons and reconciliation checks to validate that migrated data is complete, consistent and faithful. Write reusable SQL and Python scripts for profiling, exception detection and validation, using Azure Databricks, Git and dbt where relevant. Communicate findings clearly to technical and non-technical audiences, using Excel and Power … profiling unfamiliar datasets and tracing data quality issues to their root cause in a migration context. Strong SQL skills for complex joins, window functions, anomaly detection and source-to-target reconciliation. Working knowledge of Python, Azure Databricks or Spark SQL, and familiarity with Git and dbt. Ability ...

loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty … wizardry; GPU/accelerator experience. Multimodal pipelines (text + voice + screenshots). Prior experience in contact center/CX analytics or novelty/anomaly systems. Founder or founding engineer experience #J-18808-Ljbffr ...

operational efficiency. Design and implement observability platforms to effectively monitor system health, performance, and reliability. Develop strategies for AI-driven alerting and proactive anomaly detection to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR). Establish and enforce SRE best practices, including Service ...

Influence technical direction rather than simply execute a roadmap. Build solutions across the complete machine learning lifecycle. Develop expertise in cutting-edge areas including anomaly detection, agentic AI and intelligent decision-support systems. Operate in a high-trust environment with genuine ownership and accountability. Move faster, with ...

Comfortable working with both technical and non-technical audiences. Excellent stakeholder management and influencing capabilities. Desirable Experience Experience building automated monitoring and alerting systems. Anomaly detection and predictive analytics experience. Mobile attribution platform experience. Marketing performance analytics expertise. Mobile gaming industry experience. Experience supporting User Acquisition teams. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

customer friction Scoping new opportunities and suggesting features, rules and models to tackle emerging risks Working with Data Scientists/Analytics Engineersto develop detection and mitigation approaches Building your own data models and pipelines where needed to answer questions quickly, alongside an established analytics engineering team Making data … Hands-on exposure to financial crime or risk, in at least one of fraud, AML, sanctions and screening, KYC or KYB, transaction monitoring, or anomaly detection Advanced SQL that you can write yourself: window functions, CTEs, complex joins, aggregations and query optimisation Working fluency in Python Practical ...

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 ...