10 of 10 Permanent Anomaly Detection Jobs in Scotland

CrewAI). Experience with cloud platforms (AWS, Azure, GCP) or ML platforms (e.g., Databricks). Exposure to fraud detection, anti‐money laundering, anomaly detection, or graph/network‐based modelling. Understanding of model risk management, governance, and regulatory controls in financial services. ...

business domains — defining, validating, and owning the definitions, metrics and models that drive decisions.Apply machine learning to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting.Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation — including prompt engineering ...

driven decisions . Implement feedback loops to continuously improve model performance . AI-Driven SRE Enablement Develop ML/AI models for anomaly detection, incident prediction, and root cause analysis across distributed systems . Implement intelligent alerting systems to reduce noise and improve signal fidelity . Build ...

request, model and agent error rates, retrieval quality and drift, with dashboards and alerting that surface problems before users do. FinOps: Embed cost estimation, anomaly detection and resource optimisation into the pipeline as a default rather than a monthly review. Security posture: Apply zero-trust networking, least ...

foundation for 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 ...

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 ...

/4 and ecosystem applications (APIs, events, SLT/CDC, iPaaS/BTP). • Prioritise AI use cases (forecasting, ATP optimisation, document AI, anomaly detection). • Define ML data contracts and embed models in operational processes (Fiori, SAC). • Establish MLOps foundations: pipelines, CI/CD, monitoring ...

modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. What This Role Is Not:This is not a role ...

modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. You will be one of the engineers who makes that … real. What You Will Work On Autonomous Operations:Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stationsDrive elimination of manual processes. If a human is doing it repeatedly, automate it.Build space situational awareness systems so the fleet always knows its own stateDevelop ...

Client Location: Edinburgh Salary: £60,000 to £70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine … future platform expansion by demonstrating that models can be adapted across different applications and use cases Develop model-driven features such as confidence scoring, anomaly detection, and on-device adaptation logic Must-Haves 5+ years of applied experience in data science or machine learning engineering roles Strong ...