Open Recruitment Solutions

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!