Machine Learning Ops Engineer London Competitive

Machine Learning Ops Engineer London Outside IR35 Start Date:1st July Responsibilities: Deployment and Management: - Deploy and manage machine learning models in a production environment using Azure ML and related services. Pipeline Development: - Design, implement, and maintain CI/CD pipelines for machine learning projects. - Automate data ingestion, model training, evaluation, and deployment processes. Automation Architecture: - Develop and maintain automation scripts and tools to support the ML lifecycle. - Implement monitoring and alerting systems to detect and address performance issues. Collaboration and Support: - Work closely with data scientists and machine learning engineers to understand requirements and provide operational support. - Collaborate with DevOps and IT teams to integrate ML systems with existing infrastructure. Performance Optimization: - Optimize model serving performance, ensuring minimal latency and high throughput. - Conduct regular performance tests and tune system parameters accordingly. Security and Compliance: - Implement security best practices to protect data and models. - Ensure compliance with relevant data protection regulations. If you are passionate about machine learning and have experience in deployment, automation, and optimization, we encourage you to apply. #J-18808-Ljbffr