Data & Analytics MachineLearning Ops Engineer 12 Month Contract Based in London, 2 Days a week onsite Day rate up to £600 PD VIA Umbrella, Inside IR35 The ML Ops Engineer will be accountable and responsible for understanding the requirements, ensuring the model is built to … deployed, as well as streamlining the processes, automating those processes, and ensuring that we're using the right tools correctly. Initially the ML Ops Engineer will be responsible for reviewing the D&A Data Science proof of concept. They will need to understand through the D&A Product Owner … would be needed to optimise for production deployments. Once the proof of concept phase is over and we move to development the ML Ops Engineer will be accountable for the development and creation of the pipelines needed to deploy the model in to a production environment. Working with the more »
I am recruiting for a MachineLearning Ops Engineer to work on a hybrid basis - 2 days a week in North Greenwich, 3 days remote. The role falls inside IR35 so you will need to work through an umbrella company for the duration of the contract. You … must have technical experience as a MachineLearning Ops Engineer. As the Machine Leaning Ops Engineer you will have worked on numerous projects of a large scale and size. Experience of implementing ML models using the Azure stack is essential. You must also have experience in more »
MachineLearning Ops Engineer Contract role Inside IR35 2 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 machinelearning models. The ML Ops Engineer will be … to non-technical stakeholders and to facilitate collaboration across teams. - Experience with negotiation and conflict resolution, determining scope, and prioritization for projects. - Expertise in machinelearning 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 more »