151 to 175 of 269 Retrieval-Augmented Generation Jobs in London

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 ...

build robust, scalable cloud-first backend systems. Contribute to infrastructure-as-code practices and DevOps tooling. Build and maintain LLM-powered features such as RAG pipelines for clinical information. Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats. Collaborate closely with ...

build robust, scalable cloud-first backend systems. Contribute to infrastructure-as-code practices and DevOps tooling. Build and maintain LLM-powered features such as RAG pipelines for clinical information. Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats. Collaborate closely with ...

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 1-3 days ...

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 1-3 days ...

core mathematical concepts Proven experience delivering production-grade data science solutions in complex environments Exposure to modern data science tooling, including LLMs and RAG-style approaches Advanced SQL skills Experience working at enterprise scale, ideally in trading or similarly data-intensive domains Strong written and verbal communication skills Comfortable with ...

core mathematical concepts Proven experience delivering production-grade data science solutions in complex environments Exposure to modern data science tooling, including LLMs and RAG-style approaches Advanced SQL skills Experience working at enterprise scale, ideally in trading or similarly data-intensive domains Strong written and verbal communication skills Comfortable with ...

with streaming and batch pipelines and exposure to the tools that support them Confidence designing infrastructure to support modern data science workflows, including GenAI, RAG pipelines, and ML inference Good understanding of data privacy, retention, and access control frameworks in regulated environments A collaborative mindset, with experience working across business ...

with streaming and batch pipelines and exposure to the tools that support them Confidence designing infrastructure to support modern data science workflows, including GenAI, RAG pipelines, and ML inference Good understanding of data privacy, retention, and access control frameworks in regulated environments A collaborative mindset, with experience working across business ...

Developing and optimizing models for image recognition, object detection, and video analytics. NLP: Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs. Generative AI: Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features. SME Consulting & Mentorship … with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications. 3. Leadership & Soft Skills Technical Leadership: Proven track record of leading complex data science projects from research ...

technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful … Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector databases such as FAISS, Pinecone or Weaviate Ability to evaluate and improve prompts and retrieval quality using clear metrics Understanding ...

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 ...

documenting reliable and scalable data science products in complex environments, ideally Energy, Oil & Gas or Commodities Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages. Python or Java and SQL Thorough understanding of underlying mathematical foundations of statistics and machine learning. ...

documenting reliable and scalable data science products in complex environments, ideally Energy, Oil & Gas or Commodities Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages. Python or Java and SQL Thorough understanding of underlying mathematical foundations of statistics and machine learning. ...

site £550p/d - INSIDE IR35 Skills Required: Strong expertise in developing Gen AI solutions in Python Deep expertise in Prompt Engineering and RAG solutions Familiar with Azure Cloud services Azure AI Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited ...

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 ...

Have Skills: Strong background in application security, cloud security, or security architecture Hands-on experience with securing AI/ML systems, including LLMs, APIs, RAG pipelines, and vector stores Deep familiarity with AI security risks and threat modeling methodologies Working knowledge of modern DevSecOps practices and tools Excellent communication ...

Have Skills: Strong background in application security, cloud security, or security architecture Hands-on experience with securing AI/ML systems, including LLMs, APIs, RAG pipelines, and vector stores Deep familiarity with AI security risks and threat modeling methodologies Working knowledge of modern DevSecOps practices and tools Excellent communication ...

through to production. Work with messy, large-scale structured and unstructured data to build models that move real business metrics. Lead the design of RAG-style architectures (embeddings, dense search) and advanced NLP/NLU applications. Partner closely with pre-sales and delivery teams to scope opportunities and shape solution ...

through to production. Work with messy, large-scale structured and unstructured data to build models that move real business metrics. Lead the design of RAG-style architectures (embeddings, dense search) and advanced NLP/NLU applications. Partner closely with pre-sales and delivery teams to scope opportunities and shape solution ...