Technical Resources Ltd
17/05/2024
Project-based
MLOPs Engineer (Junior to Expert level) x4 Location: Hybrid (Mainly London based - ad-hoc on-site) Duration: 6 months rolling Rate: £400pd to £1200pd DOE (Negotiable - please tell us what you are looking for) Overview: Are you a seasoned MLOps Engineer with a passion for AI and a track record of deploying, monitoring, and maintaining of machine learning models in production environments for optimal performance? As an MLOps Engineer, youll play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact. What You'll Do: . Deploy and maintain machine learning models in production environments. . Implement monitoring solutions to track model performance and detect anomalies. . Collaborate with data scientists and engineers to streamline the model deployment process. . Optimize models for scalability, reliability, and real-world performance. . Implement and manage model versioning and rollback procedures. . Troubleshoot and resolve issues related to model inference and data pipelines. . Stay updated on the latest developments in MLOps and implement best practices for model life cycle management. What You'll Bring: . 5+ years of experience in MLOps or a related field. . Masters or higher degree in Computer Science, Machine Learning, or a related field. . Solid understanding of machine learning concepts and model deployment. . Proficiency in programming languages such as Python. . Experience with model deployment frameworks (eg, TensorFlow Serving, TorchServe). . Knowledge of containerization and orchestration tools (eg, Docker, Kubernetes). . Familiarity with monitoring and logging tools for MLOps. . Strong collaboration and communication skills.