4 of 4 Contract Generative AI Jobs in Berkshire

develop, and optimize enterprise data solutions. The ideal candidate will have deep expertise in modern data platforms, integration technologies, and advanced analytics, including AI/ML. Key Responsibilities Data Platform Management Design and implement solutions using Microsoft Fabric, Snowflake, CosmoDB, Databricks, MongoDB, and traditional RDBMS systems Data Replication … physical models using ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI ...

concept. Key Responsibilities Design and build production-ready AI solutions , with a strong focus on reliability and scalability Develop and deploy GenAI/LLM-based applications (e.g. copilots, internal tools, automation) Build and maintain AI services, APIs and integrations with existing platforms Implement data pipelines, embeddings … Familiarity with vector databases, embeddings and modern AI architectures Comfortable working in agile, fast-moving delivery environments Nice to Have Experience with GenAI use cases (RAG, agents, copilots, document automation) Exposure to MLOps , CI/CD and monitoring of AI systems Experience in regulated or enterprise ...

been unsuccessful on this occasion, however, we will have your CV and contact details on files should something more suitable arise. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest ...

Type: Permanent/Fixed Term Job Summary: We are seeking a highly experienced Communications Architect with deep expertise across Intelligent Automation Platforms, Data & AI solutions, and Telecom OSS architecture & design. The ideal candidate will have over 15 years of relevant industry experience, driving strategic architecture, designing scalable communication … code automation, event-driven automation, AI/ML driven automation). Define architecture patterns for AI-enabled communications, including NLP, GenAI, intelligent routing, and automated decisioning models. Ensure alignment with telecom standards, OSS reference architectures, and enterprise architecture guidelines. Drive implementation of automation blueprints across ...