76 to 100 of 169 Anomaly Detection Jobs in the UK

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 ...

where today there is manual effort at every step. Smart and Proactive Controls Moving from reactive error correction to proactive intelligence — embedding AI‐powered anomaly detection, predictive oversight, and intelligent exception management across the full Fund Services operating model. Issues are identified and resolved before they reach ...

emerging risks, influencing product strategy, and serving as the subject matter expert for the SecOps and Vulnerability Management strategy as well as embedding detection and response capabilities on a modern technology stack. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing … resiliency, and auditability expectations. Preferred Qualifications, Capabilities, and Skills: Experience deploying AI-native capabilities within Google SecOps, leveraging Gemini-powered intelligence and ML-based anomaly detection to enhance UEBA and accelerate SOC triage at scale. Experience partnering with Red/Purple Teams to simulate attacks and actively ...

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 ...

governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into actionable insights. Prototype and assess new architecture methods, tools ...

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 ...

Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions. Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows. Excellent communication skills, with experience collaborating across technical, investment ...

Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions. Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows. Excellent communication skills, with experience collaborating across technical, investment ...

with a demonstrable track record delivering the value described for this role* Experience with methods, tools, statistics, and best practices for autonomous and discretionary anomaly detection, and data quality workflow* Excellent written and verbal communication skills; experience working with technical, investment and senior leadership teams* Experience ...

data quality, consistency, and auditability through validation, reconciliation, and documentation of data flows Drive efficiency through automation and AI‐supported data transformation, validation, and anomaly detection Manage and optimise Power BI environments, including datasets, refresh processes, performance tuning, and access control Provide ongoing reporting support, resolving data ...

cost. Leverage AIOps and observability tools (e.g. Dynatrace, Datadog, New Relic, Elastic) to proactively monitor service health and performance. Utilise predictive alerting and anomaly detection to prevent incidents and optimise delivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication ...

cost. Leverage AIOps and observability tools (e.g. Dynatrace, Datadog, New Relic, Elastic) to proactively monitor service health and performance. Utilise predictive alerting and anomaly detection to prevent incidents and optimise delivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication ...

managing a small team. Experience building or centralising a support function, including defining process and tooling. Familiarity with AI tooling for operations – log analysis, anomaly detection, or LLM‐based triage. Background in financial services, market data, or a regulated technology environment. Exposure to cloud platforms (Azure ...

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 ...

development efforts Evaluate emerging technologies and recommend strategic improvements to enhance data acquisition capabilities and overall platform performance Develop innovative approaches to data profiling, anomaly detection, and quality metrics reporting that provide stakeholders with comprehensive visibility into data health and lineage Establish and maintain documentation standards, best ...

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 ...

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 ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real-time cost-anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

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 ...