26 to 50 of 84 Retrieval-Augmented Generation Jobs in London

Alexa+. We work on recent advances in LLM science including automated prompt optimisation, supervised fine tuning, reinforcement learning, model distillation, retrieval augmented generation, model & prompt interpretability and LLM driven data generation. The techniques are used to tune a foundational model to align with Alexa 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 ❯

Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including experimentation, training More ❯

programming languages such as Python, Java, TypeScript, and Go, and have experience with REST APIs and databases. You understand generative AI methodologies such as RAG, fine-tuning, agents, reasoning workflows, and more. You plan architecture and software with foresight to ensure automation, stability, and maintainability. Knowledge of cloud technologies (Azure More ❯

analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX. Experience with Large Language Models, including RAG and fine-tuning techniques. Familiarity with compute infrastructure necessary to support operating AI and ML technology. More ❯

stack: Python, LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to solve real-world problems. You have a strong track record of building datasets for training and/or More ❯

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 More ❯

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 More ❯

Scikit- learn Deliver and test AI/ML pipelines that can be deployed into a cloud environment DevOps/MLOps practices LangChain, Llama, LLMs RAG Systems Co Pilot/Gen AI Details- 6 month contract Outside IR35 £(Apply online only)p/d Fully remote Please note all applicants must 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 ❯

novel, real world use cases. Experience delivering Large Language Model projects with customers, including LLM API integration, current knowledge of foundation models, prompt engineering, RAG, fine tuning, and managing AI projects. You either come from an Engineering background, or your desire to ship working solutions has allowed you to build 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 ❯

MLFlow, Kubeflow, or DVC. Experience with distributed processing systems like Spark (Scala and PySpark would be invaluable). Experience with LLMs, and/or RAG architecture. Experience optimizing model inference for GPUs and deploying models with specialized hardware requirements. Why join Quantexa? We know that just having an excellent glass 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 ❯

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 ❯

Hybrid Tech stack: .NET 8, C#, Python, Django, Flask, Node.JS, Express.JS, React, Azure, AWS, Multithreading, RESTful, Microservices, Web API 2, JavaScript, AI Integration (LLM, RAG, RLHF). Our client has created a global phenomenon, connecting people online to unique travel experiences in more than 60,000 cities and 180 countries. More ❯

cloud. In this role you will You'll have the opportunity to work on a mixture of the following: Generative AI Design and develop RAG based applications. LLM fine-tuning, including preparation of training sets from internal data Agent based applications Evaluating use-case specific LLMs AI/ML NLP … required skills to achieve our goals: Bachelor's degree in computer science Extensive experience working in AI/ML Generative AI: Demonstratable experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure 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 ❯

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 ❯

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 ❯