Retrieval-Augmented Generation Jobs in West Sussex

3 of 3 Retrieval-Augmented Generation Jobs in West Sussex

AI Engineer

Crawley, West Sussex, South East, United Kingdom
Peregrine
Stay up-to-date with new technologies and best practices in data engineering, advancements in generative AI, transformer architectures, and retrieval-augmented generation (RAG) techniques. Ensure the data security standards are met, in conjunction with the Information Security team Manage AI/ML projects and mentor junior team members Experience: Extensive experience in data More ❯
Employment Type: Permanent
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Senior AI Engineer

Haywards Heath, Sussex, United Kingdom
Hybrid / WFH Options
First Central Services
AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central , we're on an exciting journey with AI … develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services Implement prompt engineering techniques and Retrieval-Augmented Generation (RAG) architectures. Ensure scalability, security, auditability, and efficiency of AI solutions through detailed system design and development practices. Deploy and manage AI solutions via CI/CD pipelines in Azure DevOps … deploying, and managing production-grade AI and Generative AI systems. Extensive experience with Cloud-based AI and Cognitive Services, and Retrieval-Augmented Generation (RAG) architectures. Deep expertise in API integration, preferably within the Azure ecosystem. Experience with Infrastructure as Code (IaC) across development, testing, and production environments. Solid understanding of Azure networking principles, security More ❯
Employment Type: Permanent
Salary: GBP Annual
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Solutions Architect (AI)

Crawley, West Sussex, South East, United Kingdom
Peregrine
for tangible business outcomes Deep, hands-on understanding of machine learning, agentic systems, and generative AI. Practical knowledge of the AI landscape: architectural trade-offs (e.g., fine-tuned vs. RAG), mitigating hallucination, and technology selection for specific use cases. Proven ability to define technical vision and strategy for new technology initiatives. Shape plans, create reusable architectural patterns and frameworks for More ❯
Employment Type: Permanent
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