4 of 4 Permanent Anomaly Detection Jobs in Edinburgh

Senior Cloud Engineer, AI Platform SRE

Hiring Organisation
Jobleads-UK
Location
City of Edinburgh, Scotland, United Kingdom
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 ...

Finance Analytics & AI Manager

Hiring Organisation
Accenture
Location
Edinburgh, Midlothian, United Kingdom
Salary
£ 80 K
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 ...

Lead Cloud Engineer

Hiring Organisation
Jobleads-UK
Location
City of Edinburgh, Scotland, United Kingdom
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 ...

Embedded Machine Learning Engineer

Hiring Organisation
KO2 Embedded Recruitment Solutions LTD
Location
Edinburgh, Midlothian, Scotland, United Kingdom
Employment Type
Permanent
Salary
£70,000
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 ...