remote
Senior Machine Learning Engineer - Harnham
ML Engineer
Lead end‑to‑end ML solutions for a high‑volume fraud detection platform, building scalable models, pipelines, and cloud deployments to protect billions of transactions.
About the role
Key Responsibilities
- Design, develop, and production‑grade machine learning models to detect and prevent fraud across billions of transactions daily.
- Build and maintain scalable data pipelines and feature stores using Python, SQL, and AWS services (S3, Redshift, SageMaker).
- Collaborate with data scientists, product managers, and engineers to translate business requirements into robust ML solutions.
- Deploy models to production, monitor performance, and iterate on model retraining and feature engineering.
- Implement best practices for model governance, versioning, and reproducibility.
Requirements
- 5+ years of experience in machine learning engineering, preferably in fintech or fraud detection.
- Strong proficiency in Python, SQL, and deep learning frameworks (TensorFlow, PyTorch).
- Hands‑on experience with AWS ML services (SageMaker, Lambda, Glue) and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work independently in a remote environment.
- Strong communication skills and a collaborative mindset.
Skills
pythonmachine learningawssqldeep learning