1 to 25 of 48 Retrieval-Augmented Generation Jobs in the UK excluding London

interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join … relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models … skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search More ❯

interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join … relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models … skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search More ❯

services You'll connect a variety of APIs (including Claude, OpenAI and others) to enable dynamic conversational agents and intelligent automation. Building Retrieval-Augmented Generation pipelines You'll design smart knowledge retrieval systems using vector databases to enhance the relevance and accuracy … API development and integration , particularly in connecting LLM APIs to external systems. Strong understanding of retrieval-augmented generation (RAG) frameworks and vector databases . Proficiency in Python for developing scalable data and AI solutions, including experience with data processing libraries, API interaction, and structuring … with Claude, AWS Redshift, or graph-based systems like Anzo. So, what's in it for you? The chance to shape the next generation of AI-powered enterprise tools with real business impact. Autonomy to experiment with new technologies and deploy scalable applications in production. Exposure to advanced More ❯

to redefine primary care while helping people live happier, healthier, and longer. Education Masters Degree About the Role You will design, build, and optimize RAG pipelines that combine large language models (LLMs) with domain-specific retrieval systems, enabling natural language understanding and reasoning over patient data, clinical guidelines … work will directly impact how patients and clinicians interact with our platform, enabling safe, accurate, and context-aware content surfacing. Responsibilities Design and implement RAG architectures using open-source and potentially proprietary LLMs (e.g., LLaMA, Mistral, OpenAI, Anthropic). Build and maintain retrieval pipelines over structured and unstructured … notes, device logs, clinical documentation). Develop indexing strategies using vector databases (e.g., FAISS, Weaviate, Pinecone) and embedding models (e.g., BioBERT, ClinicalBERT). Integrate RAG outputs into user-facing applications, ensuring responses are grounded, reliable, and privacy-compliant. Work closely with product, clinical, and data science teams to fine-tune More ❯

Technologies : Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts. Cross-Functional Collaboration : Partner with business stakeholders to understand objectives and translate them into actionable machine learning More ❯

for intelligent data discovery, extraction, and decision-making. Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution. Champion the application of explainable and trustworthy AI principles in all solutions. Hands-on Technical Leadership Serve as … leadership responsibility (people management experience not required). Deep expertise in building intelligent systems with one or more of the following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience in More ❯

appropriate trade-o s in design and architecture, particularly when integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and other advanced AI technologies. Minimum Qualifications & Experience • 5+ years of experience as a Technical Project Manager or equivalent in managing software and AI … ideally with React and Python stacks, such as Django, FastAPI, or Flask). • Experience delivering AI-driven projects and integrating Large Language Models (LLMs), RAG workflows, or similar technologies (ideally relevant to AVIS or similar products). • End-to-end delivery experience in Agile environments, managing sprints, timelines, and budgets. More ❯

build innovative GenAI proof-of-concept (POC) solutions for clients, leveraging cutting-edge technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Evolve prototype POCs into fully scalable, production-ready solutions that meet client needs. Develop and implement FullStack applications for both GenAI and More ❯

or security frameworks where required (e.g., healthcare, finance, defence). Facilitate integration of LLMs or Retrieval-Augmented Generation (RAG) pipelines, where applicable. Required Experience 2+ years as the primary Technical Project Manager for at least 2 software products shipped to production in the past More ❯

of cloud security and Identity and Access Management (IAM). Knowledge of vector databases and retrieval-augmented generation (RAG). Data pipeline development experience using Airflow, Spark, or similar tools. Experience with AWS Lambda and DynamoDB Streams. Why you'll love working at WorkBuzz More ❯

Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or interest) in fine-tuning, instruction tuning, RAG architectures, or guardrail implementation. Collaborative Communicator : Able to bridge the gap between research and product, working across teams to translate ideas into features. Curious & Agile More ❯

and mentor a team of AI/ML engineers, fostering innovation and best engineering practices. Architect and implement scalable AI agent systems leveraging LLMs, RAG, reinforcement learning, and autonomous decision-making. Ensure seamless integration of AI agents with enterprise applications and existing tech stacks. Drive experimentation, rapid prototyping, and iterative More ❯

needed Our client is an international company that requires a senior Data Scientist with experience in Azure Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to More ❯

Experimentation Mindset: Passion for testing ideas, building rapidly, and learning from experiments in a structured way. Nice to Have Experience designing RAG (Retrieval-Augmented Generation)/CAG systems using vector databases and hybrid search strategies. Knowledge of LLM vulnerabilities, including adversarial prompting and data More ❯

Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or YouTube/social media video (Highly Desirable) Experience or understanding of LLMS, LangChain, & RAG (Beneficial) Sound of interest? Apply today for immediate consideration! Please note: All candidates must be UK based and have the full right to work in More ❯

of another Senior Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge variety of stakeholders Requirements More ❯

of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Mentor and guide other Data Science team members. More ❯

background in law tech/legal tech Programming in Python Experience working with, or a strong interest in AI/ML/LLMs/RAG Techniques Knowledge of Docker, containerisation and Serverless technologies. AWS Certification is a plus. Education and Experience: Bachelor’s degree in Computer Science, Information Technology, or More ❯

Weights & Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools More ❯

businesses. In this role, you will innovate in fast-moving AI research fields, focusing on integrating structured and unstructured information into AI systems (e.g., RAG techniques), with immediate application to Amazon products. If you have deep expertise in LLMs, natural language processing, and machine learning, this could be the perfect More ❯

fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine More ❯

AWS, GCP, Azure) and server management via shell Practical experience through internships or personal projects Nice to have Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Knowledge of 2D graphics editors and SVG (yep, it gets quite More ❯

in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. Desirable Skills Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, Agentic frameworks, Prompt Flows). Solid understanding of agile methodologies. Experience with Kubernetes. Proficiency working with Azure AI Search, Azure AI More ❯

we are looking for experience of building AI enabled prediction & forecasting products. We are expecting technical experience in some of these areas: LLM's, RAG Delivering applied Machine Learning projects Time Series Modelling Recommender systems & models This is an opportunity to build real world AI tools that will be put More ❯

Machine Learning Engineer - RAG Experience - Founding Engineer Machine Learning Engineer Required for a well funded Start-Up building an innovative tool and knowledge management solution to save consultancies considerable time. You will be looking to work for an early stage Start-Up working with a small … but world class team and play a critical role with your Python, Machine Learning skills and ideally exposure to Retrieval Augmented Generation (RAG). This is a critical hire that will need to work closely with the founders. Any experience building products from inception … will be highly beneficial. Currently interviewing - please send CV for immediate review! Machine Learning Engineer - RAG Experience - Founding Engineer More ❯