A leading UK HeathTech is looking for a highly skilled Data Platform Engineer focusing on MLOps to join our team. You will be responsible for deploying machine learning services, managing large-scale PostgreSQL databases, and leveraging AWS infrastructure. Collaborating with cross-functional teams, you'll ensure seamless integration of ML models into production while optimizing performance, scalability, and reliability.
Key Responsibilities:
- Design and manage scalable AWS systems, including data lakes and PostgreSQL databases.
- Process large datasets using Pandas or Spark.
- Develop FastAPI endpoints for internal tools.
- Improve ML model life cycles and CI/CD pipelines.
- Ensure compliance with data privacy and cloud security standards.
Requirements:
- 3+ years of experience with AWS (EC2, RDS, S3, SageMaker) and large databases.
- 5+ years of experience with Python API frameworks (FastAPI, Django, Flask).
- AWS certifications (Solutions Architect, DevOps Engineer).
- Experience with MLOps tools (MLFlow, TensorBoard) and containerization (Docker).
Requirements:
- Advanced degree (Master's/Ph.D.) in Computer Science or related field.
- Experience with Docker, CI/CD pipelines (GitLab), and automation tools.
- Proven track record of deploying and managing ML models in production with MLOps tools (MLFlow, TensorBoard, Weights & Biases).
- Strong knowledge of cloud security, data protection, and AWS platforms.
- Proficiency in Python, with experience in PyTorch and scikit-learn (TensorFlow is a plus).
- Leadership experience in delivering projects with a focus on innovation and collaboration.
If you're passionate about cloud infrastructure, MLOps, and scalable systems, we want to hear from you!