Machine Learning Engineer

Deploy models as reliable, low-latency services consumed by the mobile app backend. Build and schedule feature pipelines, including daily refresh of customer-level scores. Integrate an external market-news feed and product analytics data into our data warehouse. Implement model monitoring, drift detection, alerting and retraining workflows.

4+ years in software or ML engineering, with models running in production. Strong Python; model serving via REST/gRPC APIs, Docker and Kubernetes or equivalent AWS experience. Experience in data pipelines and orchestration, including third-party API integration. Experience in high-availability environments where outages affect customers.

Competitive salary package, share plan, company performance bonuses, and value-based recognition awards. Career coaching, global career opportunities, and internal development programmes for management and technical leadership. Hybrid work and flexible working hours.