4 of 4 Part-Time MLOps Jobs in the UK excluding London

maintainable code for production grade AI solutions. \n Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. \n Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such ...

production-grade AI solutions. \n Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. \n Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

hands‐on experience delivering machine‐learning systems in production or a very strong software‐engineering background with clear motivation to grow into ML and MLOps \n\n Desirable skills (strong differentiators): \n \n Using AWS SageMaker for training, deploying, and operating machine‐learning workloads, or demonstrating equivalent experience on similar … cloud ML platforms \n Exposing machine‐learning models via APIs (e.g. FastAPI‐based inference services) and operating them reliably at scale \n Applying MLOps practices, including model and version management, monitoring, and handling model or data drift \n Implementing advanced service patterns such as asynchronous processing, event‐driven architectures ...

Job Description hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. \n Who We Are: \n AND Digital are a tech company focused on accelerating digital delivery and dedicated ...