Machine Learning Engineer
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Job description
Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.
As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.
Requirements
- Experience: Proven background as a Machine Learning Engineer.
- Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).
- Data transformation & manipulation: experience with Airflow, DBT and Kubeflow
- Cloud: Experience with GCP and Vertex AI (developing ML services).
- Expertise: Solid understanding of computer science fundamentals and time-series forecasting.
- Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).
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