1 to 25 of 31 Permanent LangChain Jobs in London

experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks ...

design and deployment of scalable AI solutions across Python, .NET, and cloud-native platforms Drive adoption of advanced frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) Oversee integration of LLMs (OpenAI, Anthropic, Gemini, Mistral) via enterprise platforms (Azure OpenAI, Vertex AI) Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus ...

client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry ...

teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

multiple teamsStrong experience with cloud platforms (AWS, Azure, GCP)Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG)Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise ...

Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams ...

testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking ...

developing and deploying machine learning and generative AI solutions in production environments. * Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. * Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. * Strong knowledge of cloud platforms including AWS or Azure. ...

scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong ...

Excellent stakeholder management and communication skills Desirables Hands-on exposure to AI engineering concepts such as Python, prompt engineering, or agent frameworks Experience with LangChain, LangGraph, LlamaIndex, or similar AI tooling Knowledge of Claude (Anthropic), AI APIs, or agentic workflows Experience working within financial services, reporting, environmental or regulatory environments ...

Strong Python skills, ideally including FastAPI. Strong AWS experience, including services such as Bedrock, Lambda, ECS/EKS, API Gateway and S3. Experience with LangChain, LangGraph, RAG, vector databases and multi-agent systems. Experience building APIs, platforms, tools and AI-enabled products. Familiarity with evaluation and observability tools such ...

models (LLMs), RAG systems, agentic workflows, or applied AI research. Strong Python programming skills, with experience using modern AI and orchestration frameworks such as LangChain, LlamaIndex, or equivalent. Familiarity with data infrastructure (SQL, Snowflake, ClickHouse) and cloud environments (Azure, AWS, or GCP). Understanding of financial indexes, factors ...

Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such as LangChain or Semantic Kernel. Strong stakeholder communication and cross-functional collaboration skills. This is an exciting opportunity to help shape and scale enterprise AI capabilities while ...

following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more holidays Matched pension Life assurance ...

following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more holidays Matched pension Life assurance ...

following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more holidays Matched pension Life assurance ...

write robust Python code, ship features, and work in a cloud-native environment.Core Responsibilities: Agentic Workflow Development : Build and refine LangGraph/LangChain agent sub-graphs and multi-step workflows. LLM Integration : Improve prompt engineering, orchestrate multiple models, and implement tool-calling logic. System Observability : Use LangSmith or equivalent tracing ...

FastAPI/Flask) JavaScript, REST APIs & SQL Server AI & LLM applications RAG pipelines & agentic AI workflows Locally hosted open-source LLMs Microsoft Power Platform LangChain, LangGraph, Semantic Kernel & Copilot Studio exposure Why this role stands out: Real AI engineering projects - not just "AI strategy" Opportunity to work with cutting-edge ...

knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including ...

similar languages used in AI engineering. Hands-on experience with AI and agent frameworks such as Microsoft Copilot, Copilot Studio, Autogen Agents, Amazon Q, LangChain, LangGraph or similar platforms. The ability to analyse, evaluate and optimise agent behaviour and AI system performance. Experience delivering solutions using cloud platforms and cloud ...

ground up. Strong commercial experience as a full stack or backend focused engineer Hands on experience building agentic AI systems using frameworks such as LangChain or LangGraph Experience shipping AI powered features into production environments Solid understanding of cloud infrastructure, ideally AWS and services such as Bedrock or serverless tooling ...

made architecture decisions at meaningful scale, so has a profile that evidence of that kind of decision making. AI as core leverage - LangChain, LangGraph, MCP, Claude Code, spec-driven development, prompt versioning at production etc., rather than just using AI as a productivity tool. What’s on Offer Opportunity ...