Machine Learning Engineer
Core
Maintain stability and performance of core data and ML systems across Europe, focusing on reliability, optimization, and critical fixes in live production environments.
Role type
Machine Learning Engineer (Production Systems)
Builds
Core data and ML systems for a FTSE 100 organization
Domain
Technology / Data Science / AI
Deliverable
production ML models
Required skills
SQL, Python (Pandas, Scikit-learn, Jupyter, Matplotlib), Airflow, DBT, Kubeflow, GCP, Vertex AI, computer science fundamentals, time-series forecasting, ML algorithms (Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning)
Preferred skills
null
Technologies
GCP, Vertex AI, Airflow, DBT, Kubeflow, Python, SQL
Responsibilities
Investigate and debug complex data flows and ML issues in live production environments; maintain stability and performance of core data and ML systems; optimize system reliability.
Seniority
Mid-Senior, hands-on IC