51 to 75 of 135 Retrieval-Augmented Generation Jobs in the UK

a key role in building real-world AI solutions. What we're looking for: • Strong Python expertise • Hands-on experience with RAG (Retrieval-Augmented Generation) and deploying LLM solutions • Proven ability to build AI workflows and design effective prompts • Experience defining data pipelines and More ❯

a key role in building real-world AI solutions. What we're looking for: • Strong Python expertise • Hands-on experience with RAG (Retrieval-Augmented Generation) and deploying LLM solutions • Proven ability to build AI workflows and design effective prompts • Experience defining data pipelines and 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 ❯

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 ❯

equivalent project management certification Strong understanding of AI/ML technologies and cloud computing platforms PREFERRED QUALIFICATIONS Experience with GenAI technologies (LLMs, Foundation Models, RAG) Experience in technology consulting or professional services Executive presence and stakeholder management abilities Ability to translate complex AI concepts for business audiences More ❯

run evaluation experiments (precision/recall, BLEU, CSAT, etc.), then turn findings into actionable model tweaks. . Optimise prompts, retrieval-augmented-generation (RAG) chains and guard-rails to meet healthcare compliance standards (GDPR, ISO 27001, NHS DSPT). . Define a repeatable training pipeline More ❯

as Amazon RDS(PostgreSQL, MySQL) • Experience utilizing LLMs and prompt engineering • Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph • Familiarity with RAG Pipeline and Vector database • Design and develop RESTful APIs ensuring they are efficient, scalable, and secure • Experience with CI/CD pipeline setup and management. More ❯

as Amazon RDS(PostgreSQL, MySQL) • Experience utilizing LLMs and prompt engineering • Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph • Familiarity with RAG Pipeline and Vector database • Design and develop RESTful APIs ensuring they are efficient, scalable, and secure • Experience with CI/CD pipeline setup and management. More ❯

years+) Developed LLM architecture and deployed LLM applications Effective communication skills Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with requirements to be on client premises' in either Glasgow or Edinburgh between 1-4 days More ❯

Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-5 days More ❯

Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-5 days More ❯

as Amazon RDS(PostgreSQL, MySQL) Experience utilizing LLMs and prompt engineering Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph Familiarity with RAG Pipeline and Vector database Design and develop RESTful APIs ensuring they are efficient, scalable, and secure Experience with CI/CD pipeline setup and management. More ❯

as Amazon RDS (PostgreSQL, MySQL) Experience utilizing LLMs and prompt engineering Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph Familiarity with RAG Pipeline and Vector database Design and develop RESTful APIs ensuring they are efficient, scalable, and secure Experience with CI/CD pipeline setup and management. More ❯

Experience working in a consulting or professional services environment. Hands-on experience in AI engineering, including model development, training, and deployment. Experience working with RAG models and understanding their applications in AI. Excellent problem-solving and analytical skills and strong communication and interpersonal skills. Experience with data engineering and data More ❯

cases for embeddings, such as similarity search, clustering, and recommendation systems. Familiarity with transforming raw data into vectorized representations for GenAI applications. Familiarity with RAG pipelines to integrate embeddings and vector retrieval with GenAI models. Proficiency in chunking strategies to divide large datasets or documents into manageable pieces. More ❯

with a strong product lens. You value speed and scale over perfection. Highly autonomous. Experience building AI agents/agentic systems/architecture/RAG pipelines. Software engineering background. Experience developing and deploying production application layer products. Enjoy the buzz of startup life and want to work with high energy More ❯

with a strong product lens. You value speed and scale over perfection. Highly autonomous. Experience building AI agents/agentic systems/architecture/RAG pipelines. Software engineering background. Experience developing and deploying production application layer products. Enjoy the buzz of startup life and want to work with high energy More ❯

the value of an organization's back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to More ❯

thinking, this role was built for you. Your Responsibilities • Architect and own our full stack — backend to frontend, infra to AI. • Build a scalable RAG pipeline and deploy custom LLM workflows. • Prototype, fine-tune, and experiment with foundation models (OpenAI, Anthropic, etc.). • Build and maintain intelligent data ingestion systems More ❯

thinking, this role was built for you. Your Responsibilities • Architect and own our full stack — backend to frontend, infra to AI. • Build a scalable RAG pipeline and deploy custom LLM workflows. • Prototype, fine-tune, and experiment with foundation models (OpenAI, Anthropic, etc.). • Build and maintain intelligent data ingestion systems More ❯

long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate change. Career Growth: Work with a founding More ❯

long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate change. Career Growth: Work with a founding More ❯

you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯