Azure AI/ML Ops Engineer

Senior AI/ML Engineer Contract Remote The Senior AI/ML Engineer will architect and build agentic AI frameworks for web and mobile platforms, with a focus on MCP development and orchestration logging. This role requires excellent presentation and communication skills, as the engineer will represent AI-led automation delivery and champion an AI-first approach. Key Responsibilities: Data Preparation & Governance: Gather, clean, and prepare structured and unstructured data, apply data governance

Job Title: MLOps Engineer (ML Deployment Focus)Location: Remote Role OverviewWe are looking for a highly skilled MLOps Engineer to take ownership of machine learning deployment pipelines and lead the design, development, and execution of scalable ML infrastructure. This role focuses on productionizing ML models, ensuring secure, scalable, and efficient deployment, and enabling teams to deliver high-quality ML solutions. Key ResponsibilitiesOwn and manage end-to-end ML deployment pipelinesDesign

Client: Investment Company Job Title : Sr MLOps Engineer Location: 100% Remote Job Summary: Core Technical Skills ML Pipeline & Model Lifecycle ML pipeline design and orchestration MLflow, Kubeflow, Azure ML PipelinesModel deployment across cloud and hybrid environments including model serialisation (ONNX, Pickle, TorchScript, SavedModel) and serving infrastructure design. Knowing how to package a model correctly for the target runtime is a baseline expectation, not a bonusModel scaling horizo

Position: Lead Machine Learning Engineer Location: Remote Duration: 6 Months C2H As a Senior or Lead Machine Learning Engineer on our Applied AI team, you will operate at the frontier of AI-driven innovation. You will design, fine-tune, and implement state-of-the-art language model applications and machine learning systems, integrating AI-powered solutions into client's platform for fraud detection, decision automation, and process optimization. This role requires a blend of technical leadershi