Machine Learning Engineer

📋 Description

• 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 (e.g. Refinitiv/LSEG) and product analytics data (Amplitude
• Implement model monitoring, drift detection, alerting and retraining workflows
• Establish deployment patterns, CI/CD and testing standards for ML in our production environment
• Document everything needed for long-term ownership and deliver a handover plan

🎯 Requirements

• 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 (e.g. S3, compute, managed ML services)
• Data pipelines and orchestration (Airflow or similar), including third-party API integration
• CI/CD, infrastructure-as-code and observability tooling
• Experience in high-availability environments where outages affect customers

🎁 Benefits

• Competitive salary package, share plan, company performance bonuses, value-based recognition
• Career coaching, global career opportunities, non-linear career paths, internal development
• Complex projects, rotations, internal tech communities, training, certifications, coaching, online
• Hybrid work and flexible working hours, employee assistance programme
• Global internal wellbeing programme, access to wellbeing apps
• Global internal tech communities, hobby clubs and interest groups, inclusion and diversity