226 to 250 of 418 Retrieval-Augmented Generation Jobs in the UK

optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures ...

optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures ...

optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures ...

Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. Domain experience in Credit Risk, Market Risk, Liquidity or Capital. Experience in defining data strategy for advanced ...

Financial Crime, customer onboarding, and real‐time decision management. Experience operationalising AI/ML solutions, including model lifecycle management, feature engineering, vector databases, RAG architectures, AI governance and production‐scale MLOps. Knowledge of payment, acquiring, merchant services, consumer lending, regulatory compliance, model risk management and responsible AI within highly regulated ...

cloud platform engineering who are looking to deepen their AI expertise. Understanding and hands‐on experience with LLM based applications and related technologies (e.g. RAG, vector databases, agent frameworks). Experience managing and deploying AI Agent and Knowledge Management systems is a plus (e.g Glean, Gemini Enterprise, Amazon Quick, Writer ...

time decision management Some other highly valued skills may include: Experience operationalising AI/ML solutions including model lifecycle management, feature engineering, vector databases, RAG architectures, AI governance and production‐scale MLOps Experience building modern data platforms incorporating data mesh/Lakehouse architectures, real‐time analytics, graph technologies, observability ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting … collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma ...

prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting … collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma ...

prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting … collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma ...

development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through … power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM‐powered applications using techniques such as retrieval‐augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real‐time and batch ...

development, building scalable, resilient, and production-grade systems - Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques - Proven ability to take AI solutions from concept and experimentation through … Computer Science, Software Engineering, or a related field As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments - Design and build scalable backend platforms, APIs ...

Identifying opportunities to adopt AI into new or existing digital servicesLeading AI solution design using modern patterns such as retrieval‐augmented generation (RAG), multi-agent orchestration, vector search, prompt chaining, and model fine‐tuning.Demonstrating hands-on ability to assess technical feasibility of AI concepts … services, DevOps and waterfall environments before and know the challenges to bring the best of old and new worldAbility to develop our next generation of digital architects through formal line management and informal mentoring, coaching and learning developmentWHAT YOU'LL LOVE ABOUT WORKING HEREOur Digital Architects ...

opportunities to adopt AI into new or existing digital services* Leading AI solution design using modern patterns such as retrieval‐augmented generation (RAG), multi-agent orchestration, vector search, prompt chaining, and model fine‐tuning.* Demonstrating hands-on ability to assess technical feasibility … DevOps and waterfall environments before and know the challenges to bring the best of old and new world* Ability to develop our next generation of digital architects through formal line management and informal mentoring, coaching and learning development## **WHAT YOU'LL LOVE ABOUT WORKING HERE**Our Digital Architects ...

egress controls). Strong understanding of AI/LLM capabilities and risks across the lifecycle (model onboarding/ingestion, retrieval/RAG patterns, model serving) and associated control points (traceability, access, data handling), including assessing control design and operational effectiveness in fast‐changing environments. Experience with agentic ...

Portfolio Credit Control is seeking a Senior AI Engineer to design, build and scale Agentic AI, Generative AI and RAG solutions powering customer-facing products worldwide. You’ll work with Product, Platform and Engineering to develop production-grade AI systems, autonomous agents and LLM-powered applications. You’ll design ...

Anthropic APIs. The role requires 3-5 years of experience, strong Python/TypeScript skills, and hands-on experience with LLMs, vector databases, and RAG pipelines. #J-18808-Ljbffr ...

multi-agent orchestration (beyond simple chatbots) Hands-on experience with LLM guardrails , cost optimization , and model evaluation frameworks Deep understanding and implementation experience in: RAG architectures Vector stores Embeddings Prompt and response evaluation Strong engineering hygiene with experience in:Automated testingCI/CD pipelinesObservability & monitoringCorrelation IDs and tracingContainerization with Docker ...

scale backend architecture Event-driven systems Developer platforms Production AI infrastructure Experience with technologies such as OpenAI, Anthropic, LangGraph, LangChain, Kubernetes, Kafka, Vector Databases, RAG, MCP, Temporal or similar would be highly advantageous. Ideal backgrounds Current or previous: Chief Technology Officer Founding CTO Technical Co-Founder VP Engineering Head ...

business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production‐grade AI solutions, including RAG pipelines and LLM‐based applications Hands‐on experience with AI deployment, operationalisation, monitoring, and scaling Strong understanding of enterprise infrastructure concepts including VNets, Entra ...

Experience building or deploying AI/LLM systems in production. Founder or founding engineer experience. Familiarity with AI agent tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering. Prior experience with React, TypeScript, and/or Go. Experience interfacing with customers or leading technical projects with external stakeholders. What ...

bring a strong STEM/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG,Agentic AI(e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

Cloud Platform) and CI/CD practices for AI workflows. Practical familiarity with vector databases, hybrid search techniques, and advanced chunking strategies for optimizing RAG systems. Knowledge of or previous experience within the travel sector or fast-paced B2C e-commerce environments. Familiarity with version control tools (Git) and working ...