Senior ML Architect-Scientist, Telemetry and Log Analytics

Senior ML Architect-Scientist, Telemetry and Log Analytics What you'll achieve

In the role as a Senior ML Architect/Scientist, you will lead the modelling strategy and analytic architecture that transform how we extract value from telemetry and log data. You will be responsible for defining reference architectures, modelling blueprints, and evaluation frameworks for time series and event based telemetry across batch and streaming. You will guide the selection of algorithms, shape data and feature architectures, and partner with engineering teams to deliver solutions that improve reliability, accelerate root cause analysis, and elevate customer experience.

You will

• Own the end to end modelling strategy and analytic architecture for telemetry/log analytics, from problem framing to deployment, ensuring solutions are robust, scalable, observable, and aligned with product and platform needs
• Design and specify models for time series and event logs including anomaly detection, forecasting, change point detection, pattern mining, correlation analysis, root cause analysis (RCA), and NLP for unstructured logs
• Define requirements and architectural patterns for batch and real time streaming analytics (e.g., data contracts, schemas/ontologies for metrics/logs/traces, feature stores, and model serving patterns), collaborating with data and platform engineering for implementation
• Stay current with the latest ML, time series, and observability advancements and proactively apply new technologies to enhance team projects and drive innovation
• Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers

Qualifications

• 10+ years' experience of applied science or complex software systems, especially involving machine learning and analytic architecture, with production impact on telemetry/log or observability data
• Proven expertise across relevant modelling techniques: anomaly detection, forecasting, change point detection, pattern mining, correlation analysis, root cause analysis, and NLP for logs (template mining, embeddings, topic modelling, classification)
• Strong proficiency in Python, SQL and ETL pipelines (Airflow preferred), with deep knowledge of feature engineering for time series and event data, statistical validation, and experimental design
• Familiarity with observability ecosystems (e.g., ELK/Elastic, Splunk, Azure Monitor, Datadog, Grafana/Loki, OpenTelemetry) and how to model, index, and query logs/metrics/traces for ML use cases
• Practical leadership in model governance and MLOps standards (data/model versioning, evaluation & monitoring specifications, drift detection requirements, documentation and model risk considerations), with an emphasis on definition and oversight rather than hands on pipeline implementation
• PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
• Experience with advanced methods relevant to telemetry/logs, such as:
  • State space models, ARIMA/ARIMAX/Prophet, gradient boosted trees and ensembles for forecasting
  • Anomaly detection and seasonality/trend decomposition
  • Causal inference and discovery to support RCA and intervention design
  • Time series representation and feature extraction, sequence mining and clustering/segmentation
  • Exposure to deep learning for sequences/time series for complex patterns and multivariate dependencies
• Demonstrated ability to define SLO/SLI aware ML for observability, influence platform and data architecture, and collaborate closely with SRE/Platform/Support functions
• Publications, patents, or open source contributions; recognition as a thought leader in ML, analytics, observability, or reliability engineering

Benefits

• Award winning financial wellness tools and resources
• Generous leave of absence for new parents and caregivers
• Locations: Ovens, Cork Campus, Cork, P31 D253, IE

Job Info

• Job Identification: R286082
• Job Category: Machine Learning Engineer
• Posting Date: 06/10/2026, 03:54 PM
• Apply Before: 06/26/2026, 12:00 AM
• Job Schedule: Full time
• Job Shift: Day
• Award winning financial wellness tools and resources
• Generous leave of absence for new parents and caregivers

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