526 to 550 of 1,033 Microservices Jobs in England

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...

trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces ...