426 to 441 of 441 LangChain Jobs in the UK

with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype … MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with technical and non-technical stakeholders ...

with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype … MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with technical and non-technical stakeholders ...

with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype … MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with technical and non-technical stakeholders ...

models on QA policies for accuracy and context-awareness. Build AI Agent Architecture: Utilize modern LLM APIs (e.g., OpenAI, Anthropic, Gemini) and frameworks (e.g., LangChain, LlamaIndex) to create a robust system. Integrate Backend APIs: Enable the AI agent to automatically publish generated test guides to our internal web platform. Create … Express). Proven experience building applications using LLM APIs (e.g., OpenAI) in commercial or production-level environments. Hands-on experience with AI frameworks like LangChain or LlamaIndex. Experience designing or building agentic AI systems ...

tuning pipelines, and agentic RAG then drive PoC → Production with governance, observability, and cost control. Keep solutions portable with pragmatic use of cloud services, LangChain/LangGraph/Semantic Kernel, and standard vector stores. What you'll do OpenAI delivery • ChatGPT Enterprise deployment & governance: Plan workspaces; implement SSO/SCIM … Design with Managed Identity, Secret Management, and optional Private Link/private endpoints; harden per enterprise controls. • Frameworks & vector stores: Apply OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel where useful; integrate Azure Cognitive Search, Redis/pgvector, or managed vector services. • Copilot/Graph & app embeds: Where valuable ...

backend services powering semantic search, natural language interfaces, recommendations and assistants Integrate and deploy LLM APIs (OpenAI, Anthropic, Cohere) and open-source AI frameworks (LangChain, LlamaIndex, LangGraph) into production Design and optimise RAG pipelines using embeddings, vector databases (Pinecone, Weaviate, FAISS) and other retrieval systems Work with knowledge graphs … similar retrieval-heavy AI systems Hands-on with vector databases (Pinecone, Weaviate, FAISS or similar) and large, complex datasets Familiarity with LLM tooling (e.g. LangChain, LlamaIndex) and agentic AI concepts Comfortable in modern backend stacks (Node.js, Python, or similar – Node is a plus, not a requirement) Hybrid: able to work ...

backend services powering semantic search, natural language interfaces, recommendations and assistants Integrate and deploy LLM APIs (OpenAI, Anthropic, Cohere) and open-source AI frameworks (LangChain, LlamaIndex, LangGraph) into production Design and optimise RAG pipelines using embeddings, vector databases (Pinecone, Weaviate, FAISS) and other retrieval systems Work with knowledge graphs … similar retrieval-heavy AI systems Hands-on with vector databases (Pinecone, Weaviate, FAISS or similar) and large, complex datasets Familiarity with LLM tooling (e.g. LangChain, LlamaIndex) and agentic AI concepts Comfortable in modern backend stacks (Node.js, Python, or similar – Node is a plus, not a requirement) Hybrid: able to work ...

Java Full Stack Engineer Location: UK (Hybrid, with flexibility for client site travel) Type: Permanent Clearance: Eligible for UK security clearance Join a leading global consultancy driving digital transformation across industries. As a Java Full ...

Java Full Stack Engineer Location: UK (Hybrid, with flexibility for client site travel) Type: Permanent Clearance: Eligible for UK security clearance Join a leading global consultancy driving digital transformation across industries. As a Java Full ...

solutions. Client Details Leading consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing and AI workflows. … contract with potential for extension. Remote-first working model , with occasional travel to Staffordshire. Opportunity to work with cutting-edge AI technologies including RAG, LangChain, and advanced prompt engineering. Join a leading consultancy known for innovation and excellence in delivering complex solutions. Competitive day rate and a chance to collaborate ...

solutions. Client Details Leading consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing and AI workflows. … contract with potential for extension. Remote-first working model , with occasional travel to Staffordshire. Opportunity to work with cutting-edge AI technologies including RAG, LangChain, and advanced prompt engineering. Join a leading consultancy known for innovation and excellence in delivering complex solutions. Competitive day rate and a chance to collaborate ...

world, production-scale AI deployment . 🔧 What You’ll Do Architect and develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and maintainability across … engineers and AI researchers 💼 About You 4+ years of backend experience (Python, distributed systems, async APIs) Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.) Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows Experience in early-stage startup environments — self-starter mindset ...

world, production-scale AI deployment . 🔧 What You’ll Do Architect and develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and maintainability across … engineers and AI researchers 💼 About You 4+ years of backend experience (Python, distributed systems, async APIs) Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.) Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows Experience in early-stage startup environments — self-starter mindset ...

ship backend systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power intelligent automation and real-time processing. Manage infrastructure … Proven track record of building and shipping production-ready systems. Hands-on experience with distributed systems, APIs, databases, and cloud infrastructure. Familiarity with LLMs, LangChain, RAG, or fine-tuning techniques (SFT/RL). Strong problem-solving and debugging abilities with a proactive, builder’s mindset. Comfortable in a fast ...

ship backend systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power intelligent automation and real-time processing. Manage infrastructure … Proven track record of building and shipping production-ready systems. Hands-on experience with distributed systems, APIs, databases, and cloud infrastructure. Familiarity with LLMs, LangChain, RAG, or fine-tuning techniques (SFT/RL). Strong problem-solving and debugging abilities with a proactive, builder’s mindset. Comfortable in a fast ...

Description Predominantly working with Large Language Models (LLMs). Strong understanding of agentic frameworks: LangGraph, LangChain, AutoGen, CrewAI, DeepSeek, OpenAI. Proven experience with agent-to-agent protocols. Ability to determine the most suitable LLM for specific environments and use cases. Collaboration with the model risk team for performance monitoring, testing … governance principles and compliance requirements. Understanding of MCP servers and their role in AI orchestration. Skills LLMs and generative AI. Agentic AI frameworks (LangChain, LangGraph, AutoGen). Model evaluation and risk management. GPU optimization and fine-tuning. AI governance and compliance. Quantitative analysis and mathematical modeling. C# or C++ programming. ...