ensuring robust versioning, monitoring, and adherence to best practices. Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. Research and Development: Effective RAG architectures and technologies for organizing complex domain-specific data (e.g. vector databases, knowledge graphs) and effective knowledge extraction. Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training … technical projects to successful completion in agile environments. Strong communication skills to align technical solutions with business goals. Ability to mentor and foster innovation within the team. LLM and RAG Expertise: Strong expertise in building Retrieval-AugmentedGeneration (RAG) architectures and integrating with vector and graph databases. Transformer and LLM Architectures: In-depth experience More ❯
projects, driving timelines, and delivering high-quality results in fast-paced environments. Bonus Experience in deploying multi-agent frameworks and retrieval-augmentedgeneration (RAG) pipelines. Familiarity with regulatory and privacy considerations in healthcare AI applications. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences More ❯
with a focus on leveraging AI/GAI technologies and large language models (LLMs) Advanced AI Integration : Apply experience with retrieval-augmentedgeneration (RAG), vector databases (e.g. Pinecone, Weaviate, FAISS), and enterprise search for AI-driven knowledge discovery Optimize AI Performance : Utilize practical experience designing structured prompts, fine-tuning models, and cost optimization strategies More ❯
personal and professional development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-AugmentedGeneration (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
personal and professional development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-AugmentedGeneration (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around More ❯
with enterprise partners. No two weeks will look the same. Fine-tune and privately deploy LLMs - with a focus on Retrieval-AugmentedGeneration (RAG) pipelines Build and scale computer vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy More ❯
dependable and consistent results Create and implement intelligent workflow systems, integrating LLMs with enterprise applications, APIs, and automation ecosystems Develop Retrieval-AugmentedGeneration (RAG) architectures to connect organisational knowledge with LLMs Rapidly prototype and refine AI applications, showcasing tangible business benefits Provide guidance on ethical AI implementation, covering governance frameworks, regulatory compliance, and risk … JavaScript for rapid prototyping and system integration Familiarity with workflow automation solutions (UiPath, Power Automate, Zapier, n8n) and API development Practical knowledge of vector databases and embedding technologies for RAG system implementation Outstanding interpersonal skills - capable of converting business challenges into technical AI strategies Background in agile methodologies or dynamic project environments **Please only apply for this role if you More ❯
dependable and consistent results Create and implement intelligent workflow systems, integrating LLMs with enterprise applications, APIs, and automation ecosystems Develop Retrieval-AugmentedGeneration (RAG) architectures to connect organisational knowledge with LLMs Rapidly prototype and refine AI applications, showcasing tangible business benefits Provide guidance on ethical AI implementation, covering governance frameworks, regulatory compliance, and risk … JavaScript for rapid prototyping and system integration Familiarity with workflow automation solutions (UiPath, Power Automate, Zapier, n8n) and API development Practical knowledge of vector databases and embedding technologies for RAG system implementation Outstanding interpersonal skills - capable of converting business challenges into technical AI strategies Background in agile methodologies or dynamic project environments **Please only apply for this role if you More ❯
dependable and consistent results Create and implement intelligent workflow systems, integrating LLMs with enterprise applications, APIs, and automation ecosystems Develop Retrieval-AugmentedGeneration (RAG) architectures to connect organisational knowledge with LLMs Rapidly prototype and refine AI applications, showcasing tangible business benefits Provide guidance on ethical AI implementation, covering governance frameworks, regulatory compliance, and risk … JavaScript for rapid prototyping and system integration Familiarity with workflow automation solutions (UiPath, Power Automate, Zapier, n8n) and API development Practical knowledge of vector databases and embedding technologies for RAG system implementation Outstanding interpersonal skills - capable of converting business challenges into technical AI strategies Background in agile methodologies or dynamic project environments Please only apply for this role if you More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Clear IT Recruitment Limited
time management skills. Bonus skills • Experience deploying and managing applications with Azure and Docker. • Familiarity with frameworks like LangChain and Retrieval-AugmentedGeneration (RAG) models for AI-driven applications. • Experience with pandas for data manipulation. What’s on offer • Regular salary reviews recognising performance and contribution. • Generous annual leave: 25 days plus three days More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
third-party services. Develop front-end interfaces using JavaScript and frameworks such as React. Build and deploy Agentic systems and Retrieval-AugmentedGeneration (RAG) systems with Large Language Models (LLMs). Participate in privacy automation programs, including workflows for user approvals and reviews. Implement and maintain CI/CD pipelines in Jenkins to streamline More ❯
or instruction tuning models for specific tasks Embedding-based augmentation (using vector search to give LLMs access to external knowledge) Retrieval-AugmentedGeneration (RAG) or similar techniques You've taken messy, real-world data and turned it into useful, structured outputs You can show how your work had impact - whether that's a model More ❯
East London, London, United Kingdom Hybrid / WFH Options
BroadbandUK
Ofcom, Openreach, independent networks and ISPs to uncover problems that directly impact how the UK connects. Advance the use of retrieval-augmentedgeneration (RAG), combining LLMs with vector search, to push the boundaries of how AI can be applied to connectivity challenges. Our stack Backend: PHP (Laravel), Python (for AI/ML workflows) Frontend More ❯
Ofcom, Openreach, independent networks and ISPs to uncover problems that directly impact how the UK connects. Advance the use of retrieval-augmentedgeneration (RAG), combining LLMs with vector search, to push the boundaries of how AI can be applied to connectivity challenges. Our stack Backend: PHP (Laravel), Python (for AI/ML workflows) Frontend More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
designing and managing databases in Postgres. AI/ML Expertise: Build and deploy Agentic systems, MCP servers/clients, and Retrieval-AugmentedGeneration (RAG) systems with Large Language Models (LLMs). Extract, transform, and load (ETL) data to build vector databases with embedding models. DevOps and Maintenance: Implement CI/CD pipelines to streamline More ❯
North London, London, United Kingdom Hybrid / WFH Options
VERTECH GROUP (UK) LTD
experience Solid expertise in Node.js Experience integrating LLM APIs and open-source models into production systems Hands-on work implementing Retrieval-AugmentedGeneration (RAG) pipelines Experience designing and optimizing agentic AI workflows Tremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where you'll be able to bring ideas More ❯
and managing databases in Postgres. Optional Qualifications: Built LLM applications and familiar with the concepts of MCP servers, Agents, and Retrieval-AugmentedGeneration (RAG) systems. Experience with extract, transform, and load (ETL) data with using Python libraries (e.g. Pandas). Strong understanding of version control systems and CI/CD pipelines to streamline development More ❯
Crofton Park, Greater London, UK Hybrid / WFH Options
Randstad Digital
and agentic applications . Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding. You'll work on LLMs, RAG pipelines, model deployment, and cloud-native solutions that drive real-world impact. What you'll bring: Strong coding skills in Java/TypeScript/Python Experience with LLMs, NLP, and More ❯
e.g. React/Angular and integration with backend. AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake. Expertise of implementing GenAI in production including LLMs, RAG architectures, vector databases. Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Amazon is an equal opportunities employer. We believe More ❯
Own and deliver the roadmap end to end. Drive discovery to iteration, aligning cross functional squads and keeping initiatives on time and aligned to strategy. Integrate and optimize LLM, RAG, and tool calling pipelines for text. Define requirements and run evaluations to optimize our technology stack to text-based agents. Launch new channels into production. Work with clients and deployment More ❯
productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring More ❯
and ML, whilst planning, developing, and maintaining production. What Youll Bring 3+ years experience in Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Ability to build and create prototypes in a fast-paced environment More ❯
incorporating new ideas and techniques into the team. What Youll Bring 3+ years experience in Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Strong client-facing consulting or B2B experience Ability to build and More ❯
Architect multi-step agent workflows using: - Semantic Kernel SDK (C# or Python) - Azure OpenAI (GPT-4, function calling, chat completion) - Planner and Kernel Memory APIs for reasoning and memory - RAG pipelines grounded in enterprise data via Azure AI Search Microsoft 365 & Graph API Integration Enable agents to access and reason over content in SharePoint, OneDrive, Teams, Outlook, and Planner. utilise More ❯
Architect multi-step agent workflows using: - Semantic Kernel SDK (C# or Python) - Azure OpenAI (GPT-4, function calling, chat completion) - Planner and Kernel Memory APIs for reasoning and memory - RAG pipelines grounded in enterprise data via Azure AI Search Microsoft 365 & Graph API Integration Enable agents to access and reason over content in SharePoint, OneDrive, Teams, Outlook, and Planner. utilise More ❯