3 of 3 MLOps Jobs in the North East

maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we'd love to hear from you! What You'll Be Doing: Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using … Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Your Experience: Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model ...

services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent … data governance, and quality frameworks. Implementing technical reviews and driving high standards. Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform. Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps). Stakeholder Engagement: Engage ...

through APIs Working with unstructured data to extract insights and build robust data pipelines Evaluating, tracking, and improving the performance of NLP models through MLOps Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution Communicating … through APIs Working with unstructured data to extract insights and build robust data pipelines valuating, tracking, and improving the performance of NLP models through MLOps Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution Communicating ...