26 to 50 of 96 LangChain Jobs in the City of London

projects. Ideal Qualifications (Nice-to-Haves) API Integration: Practical experience integrating with third-party APIs and services within AI workflows. AI Frameworks: Familiarity with AI development frameworks such as LangChain or LangGraph. Vector Databases: Understanding of or experience with vector databases (e.g., Pinecone, Weaviate) for managing embeddings. Cloud Platforms: Familiarity with cloud services for deploying and managing applications (e.g., Google More ❯

We are seeking an experienced AI Engineer to lead the integration and strategic application of artificial intelligence in our innovative financial management platform, tailored for sectors like super yachts and touring bands. This role demands expertise in defining AI strategies More ❯

AI agents with enterprise data, APIs and infrastructure Lead technical design reviews and guide delivery teams Support pre-sales, proposals and client workshops Research and prototype emerging frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in More ❯

AI agents with enterprise data, APIs and infrastructure Lead technical design reviews and guide delivery teams Support pre-sales, proposals and client workshops Research and prototype emerging frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in More ❯

/CD, automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering roles Send More ❯

in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have: Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why More ❯

in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have: Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why More ❯

media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt More ❯

media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt More ❯

that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯

Copilot Studio, Power Automate, Power Apps, custom connectors SharePoint Development Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices Responsible AI frameworks (e.g., NIST AI RMF, ISO/ More ❯

MSc/PhD or equivalent experience). Hands-on experience building or deploying agentic AI or multi-agent systems. Proficiency in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation (RAG). Desirable: Experience with AI orchestration, workflow automation, or public-sector technology projects. Knowledge of frameworks More ❯

MSc/PhD or equivalent experience). Hands-on experience building or deploying agentic AI or multi-agent systems. Proficiency in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation (RAG). Desirable: Experience with AI orchestration, workflow automation, or public-sector technology projects. Knowledge of frameworks More ❯

Backend Engineering : Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks : Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications Data & Storage Systems : Comfortable with databases (PostgreSQL, MySQL), vector databases, and embedding systems for retrieval Infrastructure : Knowledge of cloud platforms, containerisation, and deploying More ❯

Backend Engineering : Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks : Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications Data & Storage Systems : Comfortable with databases (PostgreSQL, MySQL), vector databases, and embedding systems for retrieval Infrastructure : Knowledge of cloud platforms, containerisation, and deploying More ❯

with tool/function calling, structured outputs, context management. Comfortable designing APIs, writing tests, instrumenting systems, and debugging failures across model/provider boundaries. Nice to have Experience with LangChain/LangSmith, Orq.ai, LlamaIndex, DSPy, RAG, Guardrails/Outlines/Instructor. Vector DBs, embeddings, and data pipelines. First 90 days - example outcomes Review and improve existing core Agentic workflows Improve More ❯

with tool/function calling, structured outputs, context management. Comfortable designing APIs, writing tests, instrumenting systems, and debugging failures across model/provider boundaries. Nice to have Experience with LangChain/LangSmith, Orq.ai, LlamaIndex, DSPy, RAG, Guardrails/Outlines/Instructor. Vector DBs, embeddings, and data pipelines. First 90 days - example outcomes Review and improve existing core Agentic workflows Improve More ❯

years of experience, ideally working in high-growth start-up or scale-up environments Strong skills with Python & Fast API Cloud experience, ideally with AWS Proficiency with LLMs, Pydantic, LangChain/LangGraph or similar orchestration tools Computer Science/STEM background from a top ranked University Base salary of £80k-£110k Exceptional equity and benefits package Hybrid working, with More ❯

years of experience, ideally working in high-growth start-up or scale-up environments Strong skills with Python & Fast API Cloud experience, ideally with AWS Proficiency with LLMs, Pydantic, LangChain/LangGraph or similar orchestration tools Computer Science/STEM background from a top ranked University Base salary of £80k-£110k Exceptional equity and benefits package Hybrid working, with More ❯

knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud delivery (AWS/Azure/GCP) with basic IaC/CI/CD and governance. Nice-to-have Text More ❯

knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud delivery (AWS/Azure/GCP) with basic IaC/CI/CD and governance. Nice-to-have Text More ❯

in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Able to be SC cleared - Must hold British passport (we have MoD projects) There are also some things More ❯

infrastructure/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or More ❯

infrastructure/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or More ❯

Learning Engineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯