76 to 100 of 208 Anomaly Detection Jobs in the UK

data warehouse. Familiarity with data pipelines, APIs, workflow orchestration or system integrations. Exposure to governance, risk and compliance (GRC) platforms. Experience with statistical analysis, anomaly detection, forecasting or early‐warning indicators. Experience using external regulatory, market or threat intelligence to support risk monitoring. Familiarity with AI agents ...

Solutions Architect Associate or Professional certification, or equivalent cloud architecture experience. • Desirable: Experience in telecoms, network operations, RAN/Core analytics, data engineering, AIOps, anomaly detection, RCA or operational automation. • Desirable: Experience with event-driven architectures, lakehouse patterns, streaming data, model-assisted development or agent orchestration patterns.## ...

design it for the finance people who will use it. AI on the platform. This is where financial data turns into decisions: predictive forecasting, anomaly detection, AI-generated commentary and agentic workflows, with the human-in-the-loop controls that keep finance in charge of what ...

tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection, and semantic log clustering. Self-Healing Infrastructure Engineering: Experience designing closed-loop, self-healing systems that autonomously execute recovery actions (e.g. ...

before systems are decommissioned. Build or coordinate data pipelines and ETL processes; apply AI and machine learning tooling to accelerate data ingestion, deduplication, and anomaly detection. Design automated quality checks that reduce manual validation effort without compromising accuracy. Master Data Management & Governance Apply MDM principles to align acquired data ...

improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production ...

such as planning, documentation, and evidence review. Predictive Analytics & Machine Learning Experiment with ML algorithms (e.g., K-Means, Decision Trees, Isolation Forest, ARIMA) for anomaly detection, risk assessment, and forecasting. Collaborate with technical teams to integrate predictive models into audit processes. Audit Integration & Enablement Work alongside audit ...

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 ...

computational approaches to advance flood hazard modeling capabilities Explore, prototype, and assess artificial intelligence and machine learning methods for surrogate modeling, spatial downscaling, anomaly detection, feature extraction, emulator development, and workflow automation Develop and maintain reproducible scientific workflows, data processing pipelines, and code repositories using modern software ...

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 ...

infrastructure everything else depends on. Intelligence is the layer above the data - AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features. This is a full-stack role. You’ll own features from the data layer to the customer-facing interface. ...

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 ...

throughout the software delivery lifecycle.Familiarity with OpenTelemetry, automation, Infrastructure as Code and modern engineering practices.Knowledge of AI-powered operations (AIOps), operational intelligence, event correlation, anomaly detection, and emerging AI capabilities within operations platforms.Ability to define how Generative AI, AI assistants and intelligent operational workflows can enhance observability ...

software delivery lifecycle. Familiarity with OpenTelemetry, automation, Infrastructure as Code and modern engineering practices. Knowledge of AI-powered operations (AIOps), operational intelligence, event correlation, anomaly detection, and emerging AI capabilities within operations platforms. Ability to define how Generative AI, AI assistants and intelligent operational workflows can enhance ...

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 ...

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. ...