51 to 75 of 123 Anomaly Detection Jobs in London

clear judgment on when AI is appropriate versus deterministic or rules‐based approaches. Strong understanding of analytics and AI in production (e.g. data quality, anomaly detection, fraud/AML, workflow automation) and understands what it takes to run these reliably in regulated environments. Designs with security ...

finance. AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases that make planning better — predictive forecasting, anomaly detection, automated variance analysis, AI-generated commentary and agentic planning workflows among them — and the human-in-the-loop controls that keep finance ...

Google Cloud security best practices and IAM implementation Experience with Google Cloud data services including BigQuery and Dataflow Experience with cloud cost management (budgeting, anomaly detection, cost analysis and reporting) Experience working on a geographically distributed team across time zones Nice to have: Google Cloud Professional certifications ...

huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

Machine Learning Design, build, and deploy machine learning models that solve complex business and operational challenges. Develop solutions across predictive analytics, computer vision, anomaly detection, and natural language processing. Create scalable inference pipelines for both real-time and batch processing workloads. Implement model monitoring, performance tracking, drift … detection, and retraining processes. Rapidly prototype new ideas and validate use cases before scaling successful solutions into production. Research emerging AI and data technologies and identify opportunities to apply them in novel ways. Data Engineering & Platforms Design and maintain robust, scalable data pipelines. Integrate diverse data sources including ...

identify scraping, bot activity and unauthorised content extraction using fingerprint analysis, behavioural signals and network data Build and maintain a portfolio of detection signals and continuously evolve them as threat actors change their tactics Measure detection performance through coverage, precision, false-positive rates and baseline benchmarking … scholarly communications Experience with modern data transformation tooling such as Dataform or dbt Experience developing classification or machine learning models for user behaviour analysis, anomaly detection or segmentation Experience measuring the impact of external platforms on traffic, engagement, discoverability and commercial outcomes ...

repeatable 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 … data.Experience 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 to present ...

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 ...

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 ...

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 ...

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 ...

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. ...

validate hypotheses, investigate issues, and partner credibly with engineering and analytics Practical fluency with AI and Agentic AI for data products: automated reconciliations, anomaly detection, data-issue triage, metadata enrichment, exception handling, and workflow orchestration Able to evaluate AI honestly — value, risk, scalability, control points, operational readiness ...