76 to 100 of 145 Anomaly Detection Jobs in England

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 ...

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 ...

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 ...

work on include intelligent data extraction from unstructured and semi-structured documents, content classification and routing, cross-language translation, fraud and document-tampering detection, and workflow optimisation across business processes. You'll be trusted to turn ambiguous, often first-of-a-kind problems into dependable services that … regulatory and compliance requirements. Experience building production systems for one or more of: document/data extraction, NLP-based classification, machine translation, fraud or anomaly detection, or workflow automation. Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation methodologies. Strong background ...

sign‐in logs, to support investigations, identify trends and improve security. Support AI and data‐led IAM initiatives, including identity analytics, access risk reduction, anomaly detection and intelligent access reviews. Work closely with Engineering, Product, Security and wider stakeholders to deliver technical tasks and milestones in line ...

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. ...

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. ...

backend API services, model integration, model monitoring, evaluations and deployments Engineer feature and context pipelines balancing batch and streaming patterns to feed forecasting and anomaly‐detection models, collaborating closely with data scientists to productionise algorithms. Build the data plane for evaluation , implementing rigorous frameworks to continuously monitor ...

/GCP Pub/Sub and post-pass analysis via Athena/BigQuery. Apply AI/ML tools to engineering workflows: LLMs for documentation, anomaly detection on RF telemetry, AI-assisted simulation. Provide third-line RF support to Operations and NOC, including on-call rota participation. Produce ...

/Service/Marketing Cloud, integrations, or Apex best practices). Experience applying AI/ML in engineering workflows (e.g., coding assistants, test generation, anomaly detection, intelligent routing) or product features. Background in leading distributed teams and large‐scale refactoring or platform modernisation initiatives. Key Behaviours & Attributes ...

integrated audits and cross-functional initiatives, connecting IT controls to their financial statement impact. Leverage AI tools and data analytics to scale control testing — anomaly detection, reconciliation validation, workpaper drafting — with appropriate guardrails for SOX and financial data. Train and mentor control owners and internal audit team ...

defined requirements. Desirable 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 ...

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 ...

ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape and agentic frameworks. Experience working in the full model lifecycle (including experimentation ...

canary releases, blue/green deployments, feature flags or chaos/game days. Experience developing AI-assisted operations capabilities, such as alert enrichment, anomaly detection, triage support or runbook automation. Reliability engineering: SLOs, SLIs, error budgets, incident reduction and service health. Production excellence: monitoring, alerting, observability, runbooks ...