1 to 25 of 999 Permanent LLM Jobs in London

support business development conversations on the topic Desirable Skills: While not essential, experience in the following areas will be highly regarded: LLM Frameworks: Familiarity with orchestration tools like LangChain . Advanced AI Systems: Experience with vector databases , and building Agentic AI systems. Core Data Science: Strong knowledge of Classical Machine ...

support business development conversations on the topic Desirable Skills: While not essential, experience in the following areas will be highly regarded: LLM Frameworks: Familiarity with orchestration tools like LangChain . Advanced AI Systems: Experience with vector databases , and building Agentic AI systems. Core Data Science: Strong knowledge of Classical Machine ...

support business development conversations on the topic Desirable Skills: While not essential, experience in the following areas will be highly regarded: LLM Frameworks: Familiarity with orchestration tools like LangChain . Advanced AI Systems: Experience with vector databases , and building Agentic AI systems. Core Data Science: Strong knowledge of Classical Machine ...

Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING ...

deliver innovative AI solutions that solve real business challenges. You will be responsible for designing scalable systems, integrating AI and Large Language Model (LLM) technologies, and developing production-grade applications that drive measurable business value. The role offers the opportunity to explore emerging AI technologies, build custom AI assistants … grade software applications. Strong understanding of distributed systems, APIs, microservices architecture and secure software design. Experience integrating AI, Generative AI and Large Language Model (LLM) technologies into live production environments. Experience designing scalable, resilient and maintainable software architectures. Strong knowledge of cloud-native development and modern software engineering practices. Experience ...

deliver innovative AI solutions that solve real business challenges. You will be responsible for designing scalable systems, integrating AI and Large Language Model (LLM) technologies, and developing production-grade applications that drive measurable business value. The role offers the opportunity to explore emerging AI technologies, build custom AI assistants … grade software applications. Strong understanding of distributed systems, APIs, microservices architecture and secure software design. Experience integrating AI, Generative AI and Large Language Model (LLM) technologies into live production environments. Experience designing scalable, resilient and maintainable software architectures. Strong knowledge of cloud-native development and modern software engineering practices. Experience ...

deliver innovative AI solutions that solve real business challenges. You will be responsible for designing scalable systems, integrating AI and Large Language Model (LLM) technologies, and developing production-grade applications that drive measurable business value. The role offers the opportunity to explore emerging AI technologies, build custom AI assistants … grade software applications. Strong understanding of distributed systems, APIs, microservices architecture and secure software design. Experience integrating AI, Generative AI and Large Language Model (LLM) technologies into live production environments. Experience designing scalable, resilient and maintainable software architectures. Strong knowledge of cloud-native development and modern software engineering practices. Experience ...

platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks at scale, with experience embedding architecture governance into sprint-based ...

vector databases (e.g. Amazon OpenSearch, Aurora pgvector, Amazon Kendra). Prompt engineering, model evaluation, and techniques for improving the accuracy, safety and cost of LLM applications. Building agentic workflows or tool-using AI systems. Machine learning and model deployment with Amazon SageMaker, including MLOps practices. Data engineering and visualisation using ...

vector databases (e.g. Amazon OpenSearch, Aurora pgvector, Amazon Kendra). Prompt engineering, model evaluation, and techniques for improving the accuracy, safety and cost of LLM applications. Building agentic workflows or tool-using AI systems. Machine learning and model deployment with Amazon SageMaker, including MLOps practices. Data engineering and visualisation using ...

delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security ...

delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security ...

delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security ...

Control: Expert-level knowledge of Git and CI/CD pipeline integration (e.g., GitHub Actions, Jenkins). Modern AI Integration (2026 Trend): Experience integrating LLM APIs (OpenAI, Anthropic) or working with vector databases (Pinecone, Milvus) is highly preferred. Qualifications & Experience Education: Bachelor’s or Master’s degree in Computer Science ...

Control: Expert-level knowledge of Git and CI/CD pipeline integration (e.g., GitHub Actions, Jenkins). Modern AI Integration (2026 Trend): Experience integrating LLM APIs (OpenAI, Anthropic) or working with vector databases (Pinecone, Milvus) is highly preferred. Qualifications & Experience Education: Bachelor’s or Master’s degree in Computer Science ...

Control: Expert-level knowledge of Git and CI/CD pipeline integration (e.g., GitHub Actions, Jenkins). Modern AI Integration (2026 Trend): Experience integrating LLM APIs (OpenAI, Anthropic) or working with vector databases (Pinecone, Milvus) is highly preferred. Qualifications & Experience Education: Bachelor’s or Master’s degree in Computer Science ...

commitment to high-quality outcomes. Nice to have Experience with Python or other scripting languages. Exposure to prompt engineering, AI agents or LLM application development. Experience working with APIs and integrating AI services into business workflows. Our Values are: > We Geek Out Loud: we excel in our data ...

commitment to high-quality outcomes. Nice to have Experience with Python or other scripting languages. Exposure to prompt engineering, AI agents or LLM application development. Experience working with APIs and integrating AI services into business workflows. Our Values are: > We Geek Out Loud: we excel in our data ...

commitment to high-quality outcomes. Nice to have Experience with Python or other scripting languages. Exposure to prompt engineering, AI agents or LLM application development. Experience working with APIs and integrating AI services into business workflows. Our Values are: > We Geek Out Loud: we excel in our data ...

framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative AI tooling exposure (LangChain, LlamaIndex, vector databases such as Pinecone, Weaviate or pgvector, RAG patterns, fine-tuning workflows) MLOps platforms (MLflow, Kubeflow, Vertex ...

Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems ...

/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure, GCP, or AWS Building with the latest agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK and more) Embedding MLOps best practices, governance ...

/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure, GCP, or AWS Building with the latest agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK and more) Embedding MLOps best practices, governance ...

/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure, GCP, or AWS Building with the latest agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK and more) Embedding MLOps best practices, governance ...

data infrastructure, and experience working within Financial Services or another regulated industry is essential. Technical skills relevant to this role include Python and SQL, LLM development techniques such as prompt engineering, fine-tuning and RAG, frameworks including LangChain and LangGraph, agent frameworks, vector databases, FastAPI, and cloud platforms such ...