126 to 150 of 226 Retrieval-Augmented Generation Jobs in the UK

model training to inference APIs and monitoring. Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and agentic systems. Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences. Take ownership ...

Role 2: Applied AI Engineer Strong backend engineering experience (Python preferred) Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows Experience building RAG pipelines and AI agent orchestration systems Minimum 5 years of experience 📩 Interested? Message me here or email mmatysik@trg-uk.com ...

/ML solutions in production Strong programming skills in Python and SQL Experience with classical machine learning and LLMs/generative AI (prompting, RAG, APIs) Solid software engineering fundamentals Experience working with cloud platforms Benefits The successful Senior AI Engineer will receive the following benefits: Salary ...

Python and JavaScript Hands-on experience with backend frameworks and modern frontend frameworks Deep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative ...

both technical and senior stakeholders. Comfortable working across multiple teams and translating business needs into technical solutions. Desirable Experience: Exposure to Generative AI, LLMs, RAG techniques, or related frameworks. Experience with Microsoft Power Platform technologies. Front-end development using modern frameworks such as React, Angular, or Vue. Awareness of Edge ...

outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) Multimodal AI (text, image, audio, video) Agentic frameworks and orchestration AI/ML Engineering Python, PyTorch, TensorFlow, JAX NLP, deep learning ...

APIs, JSON and spatial query engines (e.g. Apache Spark) Experience with Generative AI technologies including Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and Prompt/Context Engineering Passion for continuous improvement and delivering high-quality solutions The Rewards We want you to love ...

services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working ...

architecture, frontend/backend patterns, and platform onboarding Mentoring engineers and driving best practices across teams Integrating modern AI tooling (LLMs, vector databases, RAG workflows) into internal platforms What we’re looking for 6+ years experience as a software or platform engineer in complex environments Strong Python engineering background (compiled ...

services • Develop applied LLM/NLP systems (conversational AI, embeddings, intent/entity recognition) • Work with PyTorch models deployed in AWS environments • Contribute to RAG, agentic workflows, and orchestration patterns • Collaborate closely with product, engineering, and leadership • Communicate technical decisions clearly to non-technical stakeholders Key details • Salary ...

RESTful APIs, microservices, and event-driven design. DevOps: Strong skills in Git, Azure DevOps, and CI/CD pipeline automation. Desired: Experience with LLMs (RAG, LangChain) , Power Platform, or modern frontend frameworks (React/Angular). Professional Profile Mindset: Entrepreneurial, resourceful, and pragmatic with a "can-do" work ethic. Consulting ...

autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical ...

stakeholders Ability to accurately translate client requirements into technical solutions, and Desirable: NLP experience Experience deploying Generative AI applications, such as chatbots or RAG systems Consultancy or professional services background would be advantageous If you are a Lead Data Scientist who enjoys customer interaction and are looking to advance your ...

Next.js, React, TypeScript, Python, FastAPI, Postgres, Redis Experience with cloud infrastructure (AWS, GCP) Exposure to or experience with foundation models or Generative AI (LLMs, RAG, fine-tuning, agents, evals, AI IDE, etc.) Experience working directly with users to iterate on products Benefits Early equity in a YC-backed, high-growth ...

have: Strong Python engineering skills for backend services and API integrations. Hands-on experience working with LLMs and related tooling, including: LLMs RAG patterns, vector databases, function calling, and prompt design. Solid experience with Google Cloud Platform, ideally including: Vertex AI, Model Garden, BigQuery, Cloud Run or Cloud Functions Ability ...

patterns, and agile delivery practices Experience with geospatial data, REST APIs, JSON, and spatial engines (e.g., Apache Spark) Experience with Generative AI, including LLMs, RAG, and prompt/context engineering A passion for continuous improvement and delivering high-quality solutions The Rewards We want you to love what you do. ...

unified decisions. Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements ...

data modeling to ensure it can support a variety of use-cases from traditional reporting, to application UI’s and LLM-based chatbots and RAG query/responses Work within an Agile framework, emphasizing capabilities that contribute to business value Act as a role model to junior analysts, data scientists ...

equivalent) Design and implementation of scoring, ranking, and weighted evaluation systems Experience with vector search, embeddings, and semantic retrieval Practical use of RAG architectures , prompt pipelines, and structured outputs Strong understanding of model evaluation, explainability, and output validation Model Development Experience with fine-tuning or training models (open ...

month rolling contract, paying up to £1000 per day, depending on experience. Experience and skills required for the Data Scientist, Advanced SQL, LLM, RAG, Machine Learning, Python, Java Development experience in one or more object-oriented programming languages (e click apply for full job details ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

delivery of AI agents using AWS Bedrock (Agents, Knowledge Bases, and model integrations) Implementing tool calling and API orchestration within agent workflows Building RAG pipelines grounded in enterprise data Designing memory and state management across multi-step interactions Orchestrating reliable, multi-step agent workflows (e.g. Lambda, Step Functions, event-driven ...

track record delivering enterprise-scale AI/ML and intelligent automation Strong hands-on knowledge of cloud AI platforms, data engineering and LLM/RAG architectures Experience implementing MLOps, observability and model governance Commercially minded, able to link AI outcomes to revenue, efficiency and customer impact Background within consumer ...

shipping reliable systems used by real customers. Key responsibilities Build and deploy LLM-powered features across drafting, prosecution, and litigation workflows Design and maintain RAG pipelines over large, complex legal and technical corpora Own systems from prototype through to production Focus on robustness, evaluation, and reliability in precision-critical ...

complex technical risks into actionable guidance for senior stakeholders. Preferred Skills Certifications: CISSP, CCSP, OSCP, or equivalent cloud security credentials. Advanced AI: Experience with RAG pipelines, vector databases, and AI model fine-tuning. Regulatory Knowledge: Understanding of the EU AI Act or ISO/IEC 42001. DevSecOps: Familiarity with automation ...