1 to 25 of 29 LangChain Jobs in the UK excluding London

Experience building applications using LLMs (GPT, Llama, Mistral, Claude) including prompt engineering, fine-tuning and evaluation. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex and agent frameworks like AutoGen, CrewAI or LangGraph . Experience building RAG architectures with vector databases (Pinecone, Weaviate, FAISS). Strong understanding of MLOps ...

Strong expertise in LLMs and RAG architectures , including models such as OpenAI, LLaMA, Mistral or Claude. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph . Experience designing AI systems using vector databases (e.g. Pinecone, Weaviate, FAISS). Solid understanding of prompt engineering, model tuning ...

LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical ...

similar Cloud & Architecture Azure AI, AWS AI/Bedrock, Google Vertex AI API-led architectures and microservices Security, governance, and responsible AI Frameworks & Tooling LangChain, LlamaIndex, Semantic Kernel or equivalent Integration with enterprise systems (CRM, ERP, collaboration platforms) Desirable Experience in regulated environments AI ethics, governance, and compliance knowledge Background ...

enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions ...

discovery through delivery Required Experience Proven experience as an AI Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge ...

etc., and version control, e.g., Git.Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc.Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors.Knowledge of OO programming and software design, i.e., SOLID principles.Knowledge and working experience of AGILE methodologies.Familiarity with Databricks ...

with this vacancy only. KEY SKILLS AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex ...

Python skills and experience developing APIs and production AI systems. Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks. Familiarity with LangChain, LangGraph or similar agentic frameworks. Solid engineering fundamentals including Docker, Kubernetes and CI/CD. BENEFITS The successful Lead AI Engineer will receive the following ...

their practical application. And AI FinOps & Model Routing Framework Expertise : Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Thought Leadership & Open Source : Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects. Certifications : Professional-level cloud certifications ...

/HDFS , Spark , and containerization via Docker/Kubernetes (K3s/OpenShift) . AI/ML Practical experience with NLP (HuggingFace) and GenAI frameworks (LangChain) tailored for local execution. Databases Experience with PostgreSQL and on-prem Vector DBs (e.g., Milvus, Qdrant, or pgvector). Security Experience working within Linux-based ...

develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science ...

develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science ...

develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science ...

develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science ...

Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. Youll enjoy: Remote-first working with offices in London, Manchester Flexible ...

/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven programming skills in Python; comfortable with concepts such as Bash ...

/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such ...

High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand ...

essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools Why This Role is Exciting Work directly with the founder on a startup backed by a larger, established ...

that are secure, resilient, and scalable. What you'll be doing Designing and deploying AI-enabled solutions across cloud environments. Leading on GenAI orchestration (LangChain, Autogen, Google ADK). Architecting RAG pipelines, vector database integrations, and prompt management strategies. Building guardrail frameworks to prevent hallucinations, injection and bias. Designing ...

architectures Infrastructure as code experience (AWS CDK preferred) Docker and containerisation Spec-driven development mindset NICE TO HAVE Python experience AI frameworks such as LangChain or LlamaIndex Event-driven architectures and message queues AWS Bedrock or similar AI services WORKING ARRANGEMENT & PACKAGE Salary range: £60,000 – £80,000 Comprehensive benefits ...

Application Architecture Tech Stack: Deep expertise in Google Cloud Platform (GCP) , Vertex AI , and Gemini Models . AI Frameworks: Strong hands-on experience with LangChain , Vector Databases (Pinecone, Weaviate, etc.), and LLMOps tools. Domain: Experience delivering AI/GenAI use cases within Banking or highly regulated industries is a significant ...

being hands-on while enabling and growing a small engineering team. Nice to Have Experience with on-prem Hadoop and Kubernetes. Experience with LangChain & LangGraph. Familiarity with AWS cost management and optimisation tools. Knowledge of front-office developer workflows in financial services. ...

Lead AI Architect - Permanent - Hybrid - Insurance OverviewAs a Lead AI Architect, you will define and drive AI architecture strategy, supporting clients to design, implement, and operate scalable platforms that enable the effective deployment of AI ...