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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