126 to 150 of 271 Retrieval-Augmented Generation Jobs in London

autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical ...

autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical ...

sense of ambiguous problem statements. Our client problems can range in a variety of domains. Some examples, but not limited to, are building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural ...

sense of ambiguous problem statements. Our client problems can range in a variety of domains. Some examples, but not limited to, are building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural ...

handling both single-step LLM tasks and complex multi-step agentic workflows. As AI Engineer you will: Architect and implement the LLM, agentic and RAG modules that power the platform's low-code environment. Build primitives, abstractions and orchestration components that allow clients to construct robust agentic workflows with deterministic ...

both single-step LLM tasks and complex multi-step agentic workflows. As Lead AI Engineer you will: Architect and implement the LLM, agentic and RAG modules that power the platform’s low-code environment. Build primitives, abstractions and orchestration components that allow clients to construct robust agentic workflows with deterministic ...

solutions with the Microsoft Power Platform Familiarity with Azure or AWS A strong interest in AI/LLMs. Practical experience with Dify, or building RAG applications is a major plus. ...

solutions with the Microsoft Power Platform Familiarity with Azure or AWS A strong interest in AI/LLMs. Practical experience with Dify, or building RAG applications is a major plus. ...

/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face ...

/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face ...

systems: From prototypes to scaled deployments, you'll design and ship systems that power real-world experiences: personalised journeys, churn prediction, lead scoring, RAG-based knowledge assistants, energy optimisation, operational AI tools, and more. Data, modelling & experimentation: Analyse and prepare data for AI use-cases: consumer behaviour, CRM interactions, digital … techniques, including: Classical Machine Learning, e.g. regression, tree-based methods, uplift models, time-series forecasting, LLM and generative AI, e.g. prompt engineering, retrieval-augmented generation, fine-tuning or adapters where appropriate. Design and implement prediction models for use cases like churn, propensity, next best ...

systems: From prototypes to scaled deployments, you’ll design and ship systems that power real-world experiences: personalised journeys, churn prediction, lead scoring, RAG-based knowledge assistants, energy optimisation, operational AI tools, and more. Data, modelling & experimentation: Analyse and prepare data for AI use-cases: consumer behaviour, CRM interactions, digital … techniques, including: Classical Machine Learning, e.g. regression, tree-based methods, uplift models, time-series forecasting, LLM and generative AI, e.g. prompt engineering, retrieval-augmented generation, fine-tuning or adapters where appropriate. Design and implement prediction models for use cases like churn, propensity, next best ...

where users can query information directly through an integrated AI assistant. The Challenges You'll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

where users can query information directly through an integrated AI assistant. The Challenges You’ll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

where users can query information directly through an integrated AI assistant. The Challenges You’ll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

where users can query information directly through an integrated AI assistant. The Challenges You’ll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

Strong expertise in: API integration & inter-service communication (REST, Kafka) Authentication/Authorization (OAuth2, JWT, Azure AD) NLP techniques (NER, classification, chunking, summarization, QA) RAG architectures and working with LLMs (OpenAI, Anthropic, etc.) Vector databases (FAISS, Azure AI Search ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

Scala + React/TypeScript * Experience building modern front-end applications Scala + AI * Experience building AI agents using relevant frameworks * Understanding of LLMs, RAG, tool-building, etc. * Ability to design automations and improve processes using AI If you're excited to work in a fast-paced environment where engineers ...

Scala + React/TypeScript • Experience building modern front-end applications Scala + AI • Experience building AI agents using relevant frameworks • Understanding of LLMs, RAG, tool-building, etc. • Ability to design automations and improve processes using AI If you're excited to work in a fast-paced environment where engineers ...

Scala + React/TypeScript • Experience building modern front-end applications Scala + AI • Experience building AI agents using relevant frameworks • Understanding of LLMs, RAG, tool-building, etc. • Ability to design automations and improve processes using AI If you're excited to work in a fast-paced environment where engineers ...

applicants but be currently resident and eligible to work in the UK Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j ...

Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What They're Looking For • Strong ...

solutions Actively coding, building and solving complex backend challenges What do I need? Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...