11 of 11 Remote/Hybrid LangChain Jobs in the UK excluding London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

growth. The Role * Build AI solutions across RAG, agentic workflows, and LLM applications.* Develop automation tools, chatbots, and content generation systems.* Work with AWS, LangChain, and vector databases.* Contribute to both internal and future client-facing products. Your Skills and Experience * Strong commercial experience with RAG, agents, and LLM tooling. … Confident with Python, AWS, and LangChain or similar frameworks.* Hands on with vector databases and retrieval pipelines.* Comfortable identifying problems and delivering end-to-end solutions ...