51 to 75 of 257 Retrieval-Augmented Generation Jobs in the UK

and expertise in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred qualifications More ❯

and expertise in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred Qualifications More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

As our GTM Manager - London you will focus on the identification and generation of new business opportunities across UK. You will contribute to BRYTER's growth directly by aligning and reinforcing the value of the BRYTER product suite to the customer's overall business plan and strategic objectives and decision criteria. In this role you will be an … Technology: You'll be at the forefront of tech, working with advanced AI models, including large language models (LLMs) and Retrieval-Augmented Generation (RAG) techniques, gaining hands-on experience with the latest innovations. High-impact role : Your contributions will directly shape BRYTER's growth and success. Collaborative and innovative team : Join a company with More ❯

the team to design and 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 traditional technology projects. Assist in More ❯

impact and are excited about working in a high-growth startup. Nice to have: experience with Vector databases, and implementing retrieval-augmented generation (RAG) systems and data pipelines Nice to have: exposure to evaluation systems, including running experiments, labeling, user feedback, and scoring methods. Note: If you feel you don't have the whole More ❯

impact and are excited about working in a high-growth startup. Nice to have: experience with Vector databases, and implementing retrieval-augmented generation (RAG) systems and data pipelines Nice to have: exposure to evaluation systems, including running experiments, labeling, user feedback, and scoring methods. Note: If you feel you dont have the whole experience More ❯

is an exciting opportunity to work in a greenfield environment, where you will play a crucial role in designing and deploying secure, scalable AI services that drive next-generation use cases, including client intelligence, document processing, and risk management. Key Responsibilities: Architect & Implement: Design and deploy secure AI services from lab to … production, ensuring they are scalable and compliant with industry standards. API Development: Create robust APIs for large language models (LLMs), retrieval-augmented generation (RAG) pipelines, agentic workflows, and document intelligence systems. Cybersecurity & Privacy: Integrate cybersecurity and data privacy controls across all AI workflows, including encryption, anonymisation, and access logging. Collaborate with CISO: Work closely … workflows using modular LLM agents with memory, planning, and tool integration. Experience implementing Model Context Protocol (MCP) for secure, auditable context injection across agentic systems. Demonstrated ability to build RAG pipelines with strict data governance and contextual integrity. Familiarity with regulatory frameworks such as the EU AI Act, FCA cybersecurity principles, and oversight of critical systems. Previous collaboration with cybersecurity More ❯

is an exciting opportunity to work in a greenfield environment, where you will play a crucial role in designing and deploying secure, scalable AI services that drive next-generation use cases, including client intelligence, document processing, and risk management. Key Responsibilities: Architect & Implement: Design and deploy secure AI services from lab to … production, ensuring they are scalable and compliant with industry standards. API Development: Create robust APIs for large language models (LLMs), retrieval-augmented generation (RAG) pipelines, agentic workflows, and document intelligence systems. Cybersecurity & Privacy: Integrate cybersecurity and data privacy controls across all AI workflows, including encryption, anonymisation, and access logging. Collaborate with CISO: Work closely … workflows using modular LLM agents with memory, planning, and tool integration. Experience implementing Model Context Protocol (MCP) for secure, auditable context injection across agentic systems. Demonstrated ability to build RAG pipelines with strict data governance and contextual integrity. Familiarity with regulatory frameworks such as the EU AI Act, FCA cybersecurity principles, and oversight of critical systems. Previous collaboration with cybersecurity More ❯

transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph TensorFlow, etc ) PySpark More ❯

you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling More ❯

transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph, , TensorFlow, etc...) PySpark More ❯

you... Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling More ❯

into prompt-ready inputs and memory chains Implement prompt chaining, context injection, and result validation patterns Use vector search and retrieval-augmented generation (RAG) to ground AI reasoning in fact Work with engineers and product leaders to align output quality with strategic goals Continuously test and refine prompts through performance benchmarking and feedback loops More ❯

TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of More ❯

on expertise with LangChain, LangGraph , and LLM orchestration tools Proven experience building and deploying agentic AI systems , multi-agent frameworks , or LLM-powered automation Strong grasp of prompt engineering , RAG pipelines , and autonomous task execution Familiarity with MLOps , cloud platforms (AWS/GCP/Azure), and AI infrastructure pipelines Excellent communication and stakeholder engagement skills—client-facing experience essential 🌍 Why More ❯

cloud technologies and services (e.g., AWS, Azure, Google Cloud) Experience with SQL and/or Snowflake. Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and feature and/or prompt engineering. Customer-focused engineer with a passion for crafting high-quality digital products More ❯

cloud technologies and services (e.g., AWS, Azure, Google Cloud) Experience with SQL and/or Snowflake. Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and feature and/or prompt engineering. Customer-focused engineer with a passion for crafting high-quality digital products More ❯

features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing) for enterprise environments Knowledge of advanced AI agent frameworks and architectures such as ReAct for building more effective autonomous More ❯

LLM & Generative AI Engineer. Description Work on emerging GenAI projects Design and Develop state of the art language models Develop proof of concepts Explore Retrieval Augmented Generation (RAG) methods Solve industry relevant problems Design and implement artificial intelligence systems and applications that can simulate human intelligence processes through the creation and validation of algorithms … Software Engineering background in C++, Python or similar NLP Tasks (Natural Language Processing) Experience with LLMs (Large Language Models) Hands on experience with RAG techniques (Retrieval Augmented Generation) Generative AI Job Offer Private Medical Bonus (18%) Private Pension 25 days + BHs Flexible working More ❯

and experience implementing CI/CD pipelines. Hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (Traditional RAG), and Agentic RAG. Proficiency in front-end development using HTML, CSS, JavaScript, and React. Experienced with Git for version control, branching strategies, and collaborative development practices. Excellent verbal and written More ❯