Senior Machine Learning Engineer

We are hiring a Senior Machine Learning Engineer to build, ship, and steward production ML systems that power marketing optimisation, forecasting, and decision automation across our verticals. You will own the end‑to‑end ML lifecycle: feature pipelines, training, evaluation, model serving, monitoring, and continuous improvement. You will work closely with Data Science, Data Engineering, BI, and Program Management in a central‑squad plus vertical‑pod model. The remit values self‑sufficiency, clear communication, and dependable delivery across multiple concurrent workstreams. You will design and operate ML pipelines in GCP: data ingestion, feature engineering in BigQuery and dbt, orchestration in Composer or Airflow, and reproducible training. You'll also stand up and maintain low‑latency model services and batch scoring jobs with robust CI/CD, versioning, and rollback strategies. You will implement monitoring for drift, data quality, and business KPIs, with alerting that prevents revenue leakage and speeds issue resolution. You'll partner with Data Science to move models from notebooks to production, including propensity, LTV and churn, and quality‑weighted bidding. The role involves Collaboration with Marketing, Product, and BI to integrate model outputs into campaigns, dashboards, and decision workflows, including predictive optimisation activation and SEM auditing. You will document contracts and metrics, improve semantic layer alignment with BI, and help standardise experimentation guardrails at scale. Champion reliability, security, and cost stewardship for ML workloads.