151 to 175 of 279 Retrieval-Augmented Generation Jobs in England

modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine‐tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal ...

software engineering best practices. Support end-to-end MLOps processes including deployment, monitoring and model validation. Explore and implement generative AI capabilities including LLMs, RAG pipelines, and intelligent workflow automation. Key Skills: Commercial experience in Machine Learning Engineering, Applied AI, or related software engineering roles. Strong programming skills in Python … pipelines, and scalable deployment practices. Understanding of MLOps concepts including experiment tracking, model monitoring, and reproducibility. Exposure to Generative AI technologies including LLMs, RAG, or prompt engineering is a plus. Strong communication skills and ability to work effectively within cross-functional agile teams. ...

stakeholders, understand how work actually happens, and turn that into practical AI systems. What we’re looking for Strong software engineering background Experience with RAG, LLMs, machine learning, and AI application development Strong hands-on skills in Python and Node.js Ability to design, build, and deploy production-ready systems Confident ...

Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/ ...

Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/ ...

Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/ ...

Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/ ...

automation Hands-on exposure to tools such as Azure OpenAI, Copilot Studio, or similar platforms Understanding of generative AI approaches, including prompt engineering and RAG Experience integrating enterprise systems via APIs and connectors Familiarity with Power Platform (Power Automate, Power Apps) Awareness of governance, security, and data protection considerations Strong ...

into CI/CD pipelines and wider SDLC activities. Should have: Practical exposure to testing AI/ML/LLM‐based systems (e.g. chatbots, RAG applications, AI‐assisted workflows) and an interest in deepening this. Familiarity with approaches to evaluating LLM outputs (for example, semantic‐similarity based methods or using ...

Mistral, or similar) • Familiarity with API development and modern software architecture • Understanding of prompt design and managing AI-generated outputs • Ideally have experience in RAG pipelines and vector databases (e.g. Pinecone, Weaviate, pgvector) • Familiarity with cloud platforms is advantageous (AWS, Azure or GCP) • A proactive mindset with the ability ...

London office 1-2 times per week. WHAT YOU BRING 5+ years hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs and agentic workflows A track record of leading complex, client-facing technical engagements Strong system design and architecture skills, with the ability ...

senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems Translate technical outputs into clear commercial value and measurable impact Mentor and develop consultants, helping build capability ...

small team, wearing multiple hats, and moving at speed without heavy process. AI/LLM experience (a plus) : Experience building with AI agents, RAG systems, or LLM-powered features is valuable but not required. End-to-end ownership mindset : You've shipped something meaningful on your own—a project, open ...

audiences. Experience supporting presales or business development activities. Experience across varied software development technologies and approaches. AI/LLM application development, including prompt engineering, RAG architectures, and agent-based workflows. #J-18808-Ljbffr ...

Deep experience with n8n/Make, Python, and SQL. LLM Native: Proficient in prompt engineering and working with OpenAI/Anthropic APIs. Familiarity with RAG pipelines and vector databases is highly desirable. System Mastery: Proven track record of automating complex CRM (Salesforce) and Support (Zendesk) environments via APIs and webhooks. ...

unified decisions. Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements ...

modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine‐tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal ...

About the Role We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have … analysis Experience with Helm and Kubernetes operators Background in data science, statistics, or scientific computing Experience with graph analytics or network analysis Experience with RAG, LLM Orchestration and MCP Experience in early-stage startups What We Offer Impact : Direct influence on product direction and technical decisions Growth : Opportunity to work ...

feedback and assist in drafting rigorous Product Requirement Documents (PRDs). For Engineering: Integrate coding assistants that go beyond autocomplete, enabling entire scaffolding generation based on the PRDs created in the previous step. Metrics & Reporting Define and track the "Physics of Gravitee": Speed, Velocity, and Quality. Report … code. You have empathy for Product Managers and Designers. Deep understanding of the SDLC (Software Development Life Cycle). Familiarity with RAG (Retrieval-Augmented Generation), Vector Databases, and Context Engineering. Data-Driven: You don't guess; you measure. You are comfortable defining KPIs ...

A leading project solutions provider in the UK is seeking a Senior Data Scientist to drive innovation through data and AI. You will design and implement data science solutions and develop Generative AI applications to ...

Skills & Experience: Active SC Clearance (mandatory) Prior experience on Ministry of Defence (MOD) projects Python Applied Machine Learning and LLM integration RAG (Retrieval-Augmented Generation) systems LangChain or LangGraph To Apply: Submit a CV and confirmation of active SC clearance status. ...

Postgres and Snowflake, plus caching layers like Redis Designing SQL-based data models and working with distributed data workflows Integrating LLM-driven capabilities (e.g. RAG/CAG architectures) into production grade systems. If big systems, AI initiatives and modern tech get you fired up, this could be your next move. ...

. AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool-use, and non-deterministic agent logic. Security Frameworks: Proficiency in OWASP LLM Top 10 and NIST AI RMF . Role 1: Identity Expert Mission: Secure ...

sales, marketing, or consulting is preferred. 4. Cloud & AI Fundamental Understandings: Basic understanding of cloud computing and AI infrastructure products (e.g., GPU, MaaS, RAG, Agents), or willingness to learn quickly. 5. Mindset: Fast learner, results-driven, self-motivated, and passionate about AI innovation in fast-paced environments. 6. Global Communication ...

oversee modern Azure data solutions, including Microsoft Fabric, Azure Databricks, Data Lake, and integration architectures. Lead AI‐enabled solution architecture, covering Azure OpenAI, RAG architectures, copilots, intelligent apps, and responsible AI practices. Facilitate discovery sessions, architecture workshops, and act as the primary technical authority while mentoring delivery teams. Support ...