ML Ops Infrastructure Engineer (UK)

TWG Global AI is seeking an ML Ops Infrastructure Engineer to join their team in a hybrid role based in London, UK. This position sits at the intersection of DevOps and Machine Learning, requiring expertise in building and maintaining infrastructure for AI systems. The role involves working with the AI Engineering department to develop and optimize machine learning operations infrastructure.

As an ML Ops Infrastructure Engineer, you'll be responsible for designing, implementing, and maintaining the infrastructure that supports machine learning workflows and AI systems. This includes setting up and managing CI/CD pipelines for ML models, optimizing deployment processes, and ensuring the reliability and scalability of AI infrastructure.

This is an excellent opportunity for someone passionate about both infrastructure engineering and artificial intelligence, wanting to work with cutting-edge AI technologies while building robust systems to support them. The hybrid work arrangement offers flexibility while maintaining collaborative opportunities with the team in London.

The role combines the technical challenges of infrastructure engineering with the innovative field of artificial intelligence, making it an exciting position for those looking to advance their career in ML Ops. You'll be working with a forward-thinking company that's focused on pushing the boundaries of AI technology while ensuring reliable and efficient operations.

Working at TWG Global AI means being part of a team that's dedicated to advancing AI technology while maintaining high standards of infrastructure reliability and performance. The company's focus on AI technology provides unique challenges and learning opportunities in the rapidly evolving field of machine learning operations.