101 to 125 of 191 Retrieval-Augmented Generation Jobs in England

machine learning, and mathematical concepts Proven experience delivering production-grade data science solutions Hands-on experience with modern data science tooling, including LLMs/RAG approaches Advanced SQL skills Experience working in complex, enterprise-scale environments Strong written and verbal communication skills Ability to perform under technical interviews including live ...

machine learning, and mathematical concepts Proven experience delivering production-grade data science solutions Hands-on experience with modern data science tooling, including LLMs/RAG approaches Advanced SQL skills Experience working in complex, enterprise-scale environments Strong written and verbal communication skills Ability to perform under technical interviews including live ...

gaming/fintech/FS) Curiosity for frameworks and agents that weren’t on GitHub yesterday Cloud + MLOps + vector search + RAG = all welcome. 🚀 Why this is a career move Board-level support — pace, budgets, expectations Chance to define AI engineering standards for a global brand Fast loops ...

gaming/fintech/FS) Curiosity for frameworks and agents that weren’t on GitHub yesterday Cloud + MLOps + vector search + RAG = all welcome. 🚀 Why this is a career move Board-level support — pace, budgets, expectations Chance to define AI engineering standards for a global brand Fast loops ...

based applicants only) You won’t be “just another engineer.” You’ll join a small, high-impact team shaping the platform behind LLMs, RAG applications, and internal AI tools. Your work will influence how the organisation uses AI at scale, giving you ownership few roles can match. Your Mission Build ...

Exceptional communication and stakeholder engagement skills. Preferred Skills Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA). Experience building RAG pipelines and agentic workflows for enterprise financial applications. Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools … containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace for production reliability. Ideal ...

Exceptional communication and stakeholder engagement skills. Preferred Skills Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA). Experience building RAG pipelines and agentic workflows for enterprise financial applications. Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools … containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace for production reliability. Ideal ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … following skills: Robust programming skills (Python is essential) An understanding of one or more of the following: Agentic AI systems and Architecture Graph RAG Traditional RAG Vision Language Models/Computer Vision Audio Processing Experience with Docker, Linux/Unix CLI, Git, and testing. Experience with one of a major ...

designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages. Advanced SQL knowledge. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining ...

designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages. Advanced SQL knowledge. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining ...

NoSQL databases to build scalable, event-driven systems. Design and optimise APIs that serve our mobile and web products, including partner integrations. Implement efficient RAG AI backend systems for introducing advanced LLM based features Collaborate with product managers, data engineers, and frontend developers to deliver new features end to end. ...

NoSQL databases to build scalable, event-driven systems. Design and optimise APIs that serve our mobile and web products, including partner integrations. Implement efficient RAG AI backend systems for introducing advanced LLM based features Collaborate with product managers, data engineers, and frontend developers to deliver new features end to end. ...

models. Strong experience with transformer models, embeddings, vector search, and Generative AI architectures. Practical experience using Hugging Face, OpenAI, LangChain, Retrieval Augmented Generation, and diffusion models. Strong MLOps experience including MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI and CD tooling. Strong programming skills … teams and enterprise environments. Desirable Skills Experience with vector databases such as FAISS, Pinecone, or Weaviate. Knowledge of enterprise scale Retrieval Augmented Generation systems. Experience within global manufacturing, engineering, or industrial environments. Understanding of data governance, security, and responsible AI principles. What This Role ...

Python experience to join their technology team in Bournemouth. This is a hands-on role focused on designing and delivering next-generation AI/ML solutions for test automation within the Securities Processing domain . You will work closely with engineering and QA teams to build intelligent automation … Responsibilities Develop and implement AI/ML, LLM and Generative AI solutions to enhance software testing processes. Build RAG (Retrieval Augmented Generation) systems and advanced automation workflows. Design and deploy Agentic AI solutions , including CoPilot/MCP-based workflows. Engineer, train and fine-tune ...

/week Duration: FTE/FTC Job Spec: AIML, Machine Learning & Data Science. Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation click apply for full job details ...

emerging AI tools, frameworks, and best practices across the consultancy. Innovation & Continuous Improvement Stay up-to-date on AI trends, including LLMs, vector databases, RAG frameworks, and multimodal models. Continuously improve delivery processes, documentation standards, and development workflows. Operational & Commercial Awareness Contribute to project scoping, estimation, and resourcing decisions. Identify ...

emerging AI tools, frameworks, and best practices across the consultancy. Innovation & Continuous Improvement Stay up-to-date on AI trends, including LLMs, vector databases, RAG frameworks, and multimodal models. Continuously improve delivery processes, documentation standards, and development workflows. Operational & Commercial Awareness Contribute to project scoping, estimation, and resourcing decisions. Identify ...

APIs, and CI/CD pipelines * Work across cloud platforms such as AWS, GCP, or Azure * Collaborate with AI specialists to deliver next-generation AI solutions * Stay hands-on with code daily, even at senior level * As a Senior Applied AI Engineer: you'll mentor others, engage with … discuss the details. Keywords: Software Engineer, Senior Software Engineer, AI Engineer, AI Developer, Python Developer, Full Stack Engineer, Backend Engineer, Generative AI, LLM, LangChain, RAG, Microservices, CI/CD, GitHub Actions, AWS, GCP, Azure, Vector Databases, Data Pipelines, Applied AI, MLOps ...

applications providing cutting-edge scientific tooling to scientists Shape the AI strategy and technology stack Develop AI features leveraging various methodologies (e.g., LLMs, RAG, traditional ML) Design and implement data strategies for AI development and training Requirements 4+ years' experience across Fullstack development (Python/Modern JavaScript (React ...

iterative prototyping across multidisciplinary teams. Strong foundation in software development with C# and TypeScript. Experience with AI/LLM concepts (e.g., prompt engineering, RAG). Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. Focus on Clean Architecture and Clean Code principles. Familiarity with Enterprise Design ...

technical prioritisation across multiple workstreams Building and shipping production features using .NET, Azure, React, and modern AI frameworks Implementing Generative AI capabilities using LLMs, RAG, and agentic approaches Upholding engineering quality through code reviews, testing practices, and technical standards What you’ll bring to the table as a Lead Full ...

technical prioritisation across multiple workstreams Building and shipping production features using .NET, Azure, React, and modern AI frameworks Implementing Generative AI capabilities using LLMs, RAG, and agentic approaches Upholding engineering quality through code reviews, testing practices, and technical standards What youll bring to the table as a Lead Full Stack ...

growing AI team , contribute to cutting-edge projects, and develop your skills with mentorship from senior engineers. You'll work on AI-powered applications, RAG pipelines, and model fine-tuning , solving real business problems. About the Role Design, implement, and fine-tune LLMs and generative AI solutions (OpenAI, Anthropic Claude … Gemini, open-source models) Build and optimize RAG pipelines , vector databases, and prompt engineering strategies Develop AI-powered applications integrating LLMs with APIs, agents, and workflows Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable) Collaborate with senior engineers and cross-functional teams to deliver ...

growing AI team , contribute to cutting-edge projects, and develop your skills with mentorship from senior engineers. You'll work on AI-powered applications, RAG pipelines, and model fine-tuning , solving real business problems. About the Role Design, implement, and fine-tune LLMs and generative AI solutions (OpenAI, Anthropic Claude … Gemini, open-source models) Build and optimize RAG pipelines , vector databases, and prompt engineering strategies Develop AI-powered applications integrating LLMs with APIs, agents, and workflows Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable) Collaborate with senior engineers and cross-functional teams to deliver ...

identify AI integration opportunities for productivity, quality, or innovation gains. Design, code, train, and test AI models tailored to use cases (e.g., NLP, CV, RAG, forecasting, etc.). Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while … Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development ...