76 to 78 of 78 Remote/Hybrid MLOps Jobs

Lead AI Engineer (Python LLM MLOps) London/WFH to £125k Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations. … About you: You have hands-on experience deploying LLMs and multi-modal models at scale in production You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment You have strong Python coding skills and API development skills You're collaborative and pragmatic with advanced stakeholder communication ...

within a multidisciplinary data team, partnering with data engineers, architects, and analysts to design, build, and productionise machine-learning models using modern Python and MLOps practices across secure cloud environments. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Data Scientist in central government … Strong hands-on experience with Python for data science and machine learning Solid understanding of machine-learning techniques (supervised, unsupervised, model evaluation) Experience with MLOps practices, including: Model versioning and deployment CI/CD for ML workflows Monitoring and performance management Experience working with cloud-based data platforms ...

ingestion pipelines to the deployment of advanced GenAI models. This is a hands-on leadership role requiring a deep understanding of modern data architecture, MLOps, and the orchestration of agentic workflows. Key Responsibilities Lead Delivery: Oversee the end-to-end lifecycle of data-intensive platforms and AI solutions aligned with … architecture. Technical Direction: Provide guidance across cloud engineering, data modeling, and ML model monitoring. Engineering Excellence: Enforce best practices in coding standards, DevOps/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs for engineering teams. Innovation: Evaluate emerging GenAI/LLM tech ...