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Senior AI/ML Infrastructure Specialist

2 months ago


London, Greater London, United Kingdom La Fosse Full time £130,000 - £140,000

La Fosse is currently working with a cutting-edge AI start-up that utilizes advanced robots to maximize human capacity and effectiveness. As a Senior MLOps Engineer (AWS), you will oversee the end-to-end lifecycle of AI/ML models, from development to deployment, ensuring the reliability, scalability, and security of AI/ML infrastructure. Key responsibilities include implementing best practices for version control, testing, and continuous integration/continuous deployment (CI/CD) for AI/ML models. Additionally, you will ensure the reliability, scalability, and security of AI/ML infrastructure, and implement best practices for version control, testing, and continuous integration/continuous deployment (CI/CD) for AI/ML models. The ideal candidate will have proven experience as an AI/ML Ops Engineer or in a similar role, with a strong understanding of AI/ML lifecycle management. Proficiency in programming languages such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is required. Knowledge of security best practices for AI/ML models and data is also essential. The successful candidate will be responsible for ensuring the reliability, scalability, and security of AI/ML infrastructure, and implementing best practices for version control, testing, and continuous integration/continuous deployment (CI/CD) for AI/ML models. If you have a strong understanding of AI/ML lifecycle management, and experience with cloud platforms (ideally AWS), this could be the ideal role for you. The company is looking for a Senior MLOps Engineer (AWS) to join their team.