onsite
ML/AI Engineer - Lloyds Bank
AI Engineer
Lead end‑to‑end ML projects, building scalable models on AWS, and collaborate with data teams to deliver AI solutions that drive business outcomes.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models using Python, TensorFlow, and AWS services.
- Collaborate with data engineers to build robust data pipelines and feature stores.
- Perform model training, hyper‑parameter tuning, and performance evaluation.
- Integrate models into existing applications and monitor their performance in production.
- Document model architecture, data flows, and best practices for reproducibility.
Requirements
- Strong experience with Python, SQL, and data manipulation libraries (pandas, NumPy).
- Proven track record in building and deploying ML models at scale, preferably on AWS (SageMaker, EC2, S3).
- Deep learning expertise with TensorFlow or PyTorch.
- Knowledge of data engineering concepts and experience with ETL pipelines.
- Excellent problem‑solving skills and ability to communicate complex ideas to cross‑functional teams.
Skills
pythonmachine learningawsdeep learningtensorflowsql