Machine Learning Ops EngineerContract roleInside IR352 days a week on site in London Job Overview:We are seeking an experienced ML Ops Engineer to lead the deployment, management, and optimization of machine learning models. The ML Ops Engineer will be accountable for ensuring models are production-ready, streamlining processes, and automating deployments to guarantee the efficient operation of the models. This role involves close collaboration with data science, development, and support teams to ensure smooth integration, adherence to best practices, and compliance with security and data governance standards.Key Skills and Qualifications:- Proven ability to balance multiple competing tasks and prioritize effectively within a development team.- Strong communication skills to explain technical concepts to non-technical stakeholders and to facilitate collaboration across teams.- Experience with negotiation and conflict resolution, determining scope, and prioritization for projects.- Expertise in machine learning concepts, frameworks, and ensuring seamless integration and scalability.- Ability to ensure data scientists can easily use ML models without worrying about their maintenance or deployment.- At least 3 years of experience as an ML Ops Engineer on projects of similar scope and scale- Strong technical experience in:- Deploying ML models using Azure stack.- Programming in Python and Scala in the context of ML models.Key Responsibilities:Review and Optimize Proof of Co...