176 to 200 of 252 Retrieval-Augmented Generation Jobs in England

enterprise-wide AI platform adoption Essential Skills and Experience Strong Python development experience, particularly for automation and test frameworks Experience with LLM and RAG evaluation tooling, frameworks, or custom evaluation pipelines Expertise in automated testing across unit, integration, and regression testing environments Good understanding of agentic AI systems, associated risks ...

Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept ...

LLMs, prompt design, and agent orchestration Strong Python skills and solid backend/API fundamentals Experience with data pipelines, embeddings, retrieval, or RAG systems Product‐driven mindset with comfort operating in ambiguity Ability to reason about latency, cost, reliability, and quality trade‐offs Excellent communication and ownership mentality ...

Python code Solid understanding of backend systems and APIs, even if not infrastructure-focused Experience working with data pipelines, embeddings, retrieval, or RAG-style systems Ability to reason about latency, cost, reliability, and quality trade-offs Product mindset You naturally think in terms of user outcomes, not just ...

scaling AI‐enabled products, internal platforms, workflow tools, agents, or automation capabilities. Experience with AI product evaluation, model performance, responsible AI, prompt design, RAG, knowledge graphs, or agent orchestration. Experience in financial services, capital markets, asset servicing, banking, payments, operations, risk, compliance, or data‐intensive enterprise environments. Experience working ...

/AI, guiding customers and the Field Engineering team to design production‐grade AI solutions on the Databricks platform. You will drive GenAI initiatives, RAG architectures, agentic systems, AI observability, and NLQ of structured data, while mentoring peers and influencing the platform roadmap. Some travel may be required. #J ...

move fast and safely at scale. You will collaborate with backend and AI engineers to deliver production-grade AI capabilities, including Agentic AI, RAG, embeddings, and vector search, while building secure deployment pipelines and observability across systems. #J-18808-Ljbffr ...

build business cases, and define practical implementation roadmaps. Provide technical leadership across AI technologies Lead across modern AI architectures, Generative AI, Agentic AI, LLMs, RAG, Data Platforms, Cloud AI Services, and enterprise integration patterns. Remain hands-on where required Provide architectural guidance, technical assurance, innovation leadership, and support the resolution ...

Skills Strong banking domain expertise (retail, lending, payments, contact center) Expertise in Conversational AI/IVR and GCP architecture Knowledge of Agentic AI, RAG, and API-led integrations Exceptional stakeholder engagement and influencing skills Experience 1218+ years in enterprise architecture/solution design Proven experience in onsite client-facing roles ...

landscape, and how these approaches create value in product development. Hands‐on experience with AI models, tools, and frameworks, including agent orchestration, prompt engineering, RAG pipelines, evaluation frameworks, LangChain, Codex, Claude, Gemini, and observability tools and best practices. Strong technical problem‐solving skills and the ability to guide teams through ...

Qualifications Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines. ...

strong attention to quality and detail, comfortable working independently and managing competing priorities. Nice‐to‐haves Experience with LLM/agent applications (tool‐calling, RAG, evals, agent orchestration). Experience selling or delivering into regulated or security‐sensitive industries (fintech, healthcare, insurance). Workflow‐automation platform experience. A cloud/ ...

doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy … Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable AI deployment ...

grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability … implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms ...

Robotics team following continued growth and investment. This is an exciting opportunity to join a multidisciplinary engineering team developing next-generation intelligent systems that combine AI, machine learning and robotics to solve complex real-world challenges. Working closely with software engineers, data scientists and product teams … modern software architecture. Experience working within Agile development environments. Excellent communication and stakeholder engagement skills. Desirable Experience with ROS/ROS2. Experience with LLMs, RAG or Agentic AI architectures. Knowledge of reinforcement learning or motion planning. Familiarity with Docker, Kubernetes and CI/CD. MSc or PhD in Computer Science ...

deployment Build robust evaluation harnesses—offline metrics, online experiments, guardrails and monitoring Apply LLMs and generative AI techniques where they're the right tool—RAG, fine-tuning, prompt engineering, agentic patterns Monitor models in production for drift, degradation, bias and safety concerns Partner with data engineering peers to build … experience—deploying, serving and monitoring models at scale LLM and generative AI tooling exposure (LangChain, LlamaIndex, vector databases such as Pinecone, Weaviate or pgvector, RAG patterns, fine-tuning workflows) MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker, Databricks or equivalent) Cloud experience (AWS, GCP, Azure), containerisation and basic data engineering/ ...

people with: Strong TypeScript/Node.js engineering experience Experience building and deploying production systems in AWS Experience working with LLMs, agentic workflows and RAG architectures Curiosity around emerging technologies and AI-native development Strong stakeholder engagement skills The ability to move quickly in ambiguous environments This is not a role ...

Ability to translate complex AI/ML designs into clear documentation. Knowledge of enterprise architecture principles (security, cloud, data, resilience). Familiarity with LLM, RAG, and agentic system architectures and risks. Strong stakeholder management and communication skills across technical and non‐technical audiences. Benefits Healthcare Retirement planning Paid volunteering days ...

development best practices, ensuring long-term project success and high end-user adoption.### Skills Required* Python* Software Development* Structured Data* Unstructured Data* Vector Databases* RAG Architecture* Enterprise AI Solutions* AI System Architecture* Google Cloud Platform (GCP)* Technical Discovery Sessions* French (Fluent)* German (Fluent)* Multi-agent Systems* LangGraph* CrewAI* ADK* ReAct ...

technical role - Solutions Engineering, Developer Relations, Founding Engineer, or similar. Hands-on AI/LLM product experience. You\'ve built with LLMs, you understand RAG, tool use, agents, and evals, and you know the practical limits of current models. Strong full-stack chops: TypeScript on the front end plus ...

facing technical role - Solutions Engineering, Developer Relations, Founding Engineer, or similar.Hands-on AI/LLM product experience. You've built with LLMs, you understand RAG, tool use, agents, and evals, and you know the practical limits of current models.Strong full-stack chops: TypeScript on the front end plus one strong ...

balancing systems, power scheduling platforms and transmission system operators. Define the risk and valuation platform architecture, including curve management, model calibration, scenario generation, exposure calculation and integration with front-office decision-support tools. Architect the data landscape for gas & power trading, including canonical data models (CDM), data mesh … downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks at scale, with experience embedding architecture governance into sprint-based delivery teams. ...

balancing systems, power scheduling platforms and transmission system operators. Define the risk and valuation platform architecture, including curve management, model calibration, scenario generation, exposure calculation and integration with front-office decision-support tools. Architect the data landscape for gas & power trading, including canonical data models (CDM), data mesh … downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks at scale, with experience embedding architecture governance into sprint-based delivery teams. ...

working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool-calling patterns. You'll need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine Learning … ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool-calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical ...

horizon memory and knowledge infrastructure that will allow agents to learn, recall, and reason over vast, evolving enterprise contexts. This is not about simple RAG; it’s about pioneering the future of agent memory (episodic, semantic, and procedural). Innovate in Search & Retrieval: Develop state ...