25 of 25 Contract Retrieval-Augmented Generation Jobs in England

MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. Ensure high-quality delivery and adherence to best practices in AI/ML engineering. Skills Minimum 7 years of experience in Information Technology. Miming … LLMs, and agentic frameworks. Preferred Experience with API Gateway development and deployment on Azure/GCP. Hands-on experience with vector databases and RAG pipelines. Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Strong problem-solving and stakeholder management skills. Domain expertise in Banking ...

scaling Support experimentation, benchmarking, and cost/performance analysis of AI models Contribute to retrieval-augmented generation (RAG) solutions and data integration patterns Establish reusable API standards, frameworks, and documentation to support wider adoption Troubleshoot and optimise distributed systems and cloud-based services Core ...

featuresfrom data ingestion and feature engineering to model training, evaluation, and deployment. Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails) and RAG pipelines (chunking, embeddings, vector search, caching, re ranking). Optimise training and inference performance via batching, quantisation, distillation, LoRA/PEFT, accelerator utilisation (GPU/… building GenAI applications using Python Hands-on Experience with API Development and Microservices architecture and End to End integrations Knowledge of RAG (Retrieval-Augmented Generation) and ADK, MCP Solid understanding of LLMs, prompt engineering, and graph-based workflows. Hands-on Experience with API Development ...

foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS). Proven experience in full stack development and AI/ML system implementation within ...

ideal for someone who excels at technical storytelling and enjoys translating complex concepts-such as retrieval-augmented generation (RAG), vector search, and large language model (LLM) integrations-into engaging, developer-focused multimedia content. You will play a key role in shaping video strategy, producing … curate a content calendar with a strong focus on video and demo assets Script, produce, and edit technical videos (e.g. step-by-step RAG demos, vector search walkthroughs, LLM integration tutorials) using tools such as Camtasia or similar Collaborate closely with engineers, developer advocates, and demo creators to ensure technical ...

across the digital twin pipelines Nice to have: Building agents/multi-agent systems Developing Retrieval-Augmented Generation (RAG) systems Agentic frameworks: LangGraph/LangChain Deployed LLMs at enterprise scale Modis International Ltd acts as an employment agency for permanent recruitment and an employment ...

develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc. Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. (PG vector/croma DB) Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas ...

level Product Ownership experience delivering complex digital or AI products in regulated environments Strong expertise in AI, GenAI and advanced analytics products, including LLMs, RAG patterns, and decision intelligence Experience delivering Agentic AI solutions with orchestration, task delegation, and human in the loop controls Deep understanding of banking products, processes ...

quality metrics: task success rate, groundedness, containment, FCR. Experience on Google Cloud Platform (preferred) or equivalent hyperscale. Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering. Desirable skills/knowledge/experience: Knowledge of MLOps/AgentOps, CI/CD, and observability. Strong ...

mentor junior members on modern security principles. Collaboration: Work closely with AI Engineers and Data Scientists to integrate security into the LLM lifecycle (RAG pipelines, fine-tuning, and inference). Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

mentor junior members on modern security principles. Collaboration: Work closely with AI Engineers and Data Scientists to integrate security into the LLM lifecycle (RAG pipelines, fine-tuning, and inference). Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

across modern data and AI stacks including cloud-native architectures (Azure, AWS), data platforms (Databricks, Snowflake, Microsoft Fabric), ML/AI tools (MLflow, LLMs, RAG pipelines, vector stores) and analytics technologies (Power BI, Tableau) Experience reviewing end-to-end data programmes and defining future-state delivery models in regulated ...

Hybrid Senior engineer/architect responsible for building Agentic AI capabilities within the SDLC platform environment. Key skills: Agentic workflows SLM, Vector DB, MCP, RAG GitHub Copilot/AI developer tooling Cloud-native engineering GCP preferred CI/CD platforms Harness preferred Strong GitOps and engineering governance 3? Agentic SDLC ...

senior stakeholders, with proven execution across complex migrations, AI enablement, and digital modernisation. Architect and deliver agentic AI systems (LangGraph, LangChain, tool-calling, memory), RAG pipelines, and enterprise ML workloads. Skilled in Azure and AWS AI stacks, Fast API microservices, Kubernetes, and secure vector search patterns. Strong background in FinOps … strategies. Regular contributor to AI leadership content, events and thought leadership, simplifying frontier AI for executive audiences. Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/ ...

architect/engineer who understands how to construct and integrate hybrid agenticworkflows and toolchains including local agents, SLM/Vector DB's, MCP/RAG/fine-tuning models. 1.Solid engineering experience with CoPilot/Agentic tools (Github CoPilot preferred), across moden cloud native engineering (GCP preferred), with solid grounding ...

systems (SharePoint, Dataverse, SQL, and REST APIs). GenAI Configuration: Implement and fine-tune Generative AI features, including 'boosted conversations' and knowledge-base grounding (RAG). Governance & Security: Ensure all solutions adhere to strict SC-cleared environment protocols, focusing on data residency and responsible AI principles. Stakeholder Collaboration: Work with ...

next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments. This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi … using modern AI frameworks. Key Responsibilities Design and build LLM-powered applications using Python and Generative AI frameworks Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core values ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core values ...

Foundry environment. This is a hands-on role focused on building scalable, production-ready AI systems using LLMs, RAG (retrieval augmented generation), vector databases, embeddings and Azure AI services. Key Responsibilities Design and develop LLM-powered applications, AI agents and Copilot solutions Build … optimise RAG pipelines, embeddings and vector search Integrate AI solutions with enterprise systems, APIs and cloud platforms (Azure) Implement secure-by-design AI engineering, monitoring and observability Develop reusable components including prompt libraries, agent frameworks and connectors Prototype, test and improve model performance, reliability and scalability Key Skills Strong experience ...

enterprise-grade AI capabilities. What Youll Be Doing Designing and building Copilot solutions, intelligent agents, and LLM workflows Developing scalable AI components including RAG pipelines, embeddings, and vector search Integrating AI solutions into enterprise systems, APIs, and cloud platforms Conducting rapid prototyping to validate use cases, UX, and model performance … Essential Skills for the AI product developer Proven experience building solutions using LLMs, AI APIs, and Copilot Studio or similar tools Strong understanding of RAG architectures, vector databases, and embeddings Experience with Azure AI and cloud-native development Solid knowledge of secure engineering practices including authentication, data protection, and auditability ...

repeatable outcomes. Experience automating human-centric processes such as approvals, performance reviews, document generation, or analytics workflows. Familiarity with APIs, integration frameworks, RAG-style workflows, vector search, or orchestration tools (nice to have). How to Apply If you're an AI Engineer who wants to make ...

next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments click apply for full job details ...

weekly and fortnightly reporting cycles and create impactful executive Steering Committee packs to keep stakeholders informed and engaged. Maintain Governance Frameworks: Oversee RAID logs, RAG reporting, and essential programme artefacts to ensure structured project oversight. Drive Design Authority Processes: Support or lead Design Authority processes, stage gates, and go/… Delivery Expertise: Familiarity with software delivery programmes and Agile environments (Scrum, Kanban, SAFe) is essential. Governance and Reporting Mastery: You take ownership of RAID, RAG, governance frameworks, and reporting packs, ensuring transparency and clarity. Agile PM Qualification: A must-have to succeed in this role! Stakeholder Engagement: You are confident ...

weekly and fortnightly reporting cycles and create impactful executive Steering Committee packs to keep stakeholders informed and engaged. Maintain Governance Frameworks: Oversee RAID logs, RAG reporting, and essential programme artefacts to ensure structured project oversight. Drive Design Authority Processes: Support or lead Design Authority processes, stage gates, and go/… Delivery Expertise: Familiarity with software delivery programmes and Agile environments (Scrum, Kanban, SAFe) is essential. Governance and Reporting Mastery: You take ownership of RAID, RAG, governance frameworks, and reporting packs, ensuring transparency and clarity. Agile PM Qualification: A must-have to succeed in this role! Stakeholder Engagement: You are confident ...