4 of 4 Remote/Hybrid MLOps Jobs in Berkshire

similar data processing technologies. Experience deploying and operating AI systems in cloud environments using containerisation, managed ML services or serverless architectures. Understanding of MLOps practices including model versioning, experiment tracking, CI/CD for models and monitoring of model performance and drift. Experience applying responsible AI principles, including data privacy ...

field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like ...

that support machine learning, advanced analytics or data products. You understand the full path from data quality and governance through to pipelines, model development, MLOps and production adoption. You can work credibly with senior product, commercial and engineering leaders. You’re comfortable making trade-offs across architecture, cost, delivery pace ...

data architecture decisions across portfolios. Data, AI Platforms & Technical Leadership Define and evolve enterprise data architecture and AI platform strategy (data pipelines, MLOps, model lifecycle management). Drive adoption of cloud‐native, scalable AI architectures and modern data ecosystems. Lead the integration and architectural design of AI capabilities within core ...