76 to 100 of 126 LangChain Jobs in England

driven solutions. What We’re Looking For: Lead/Managerial experience as a GenAi Developer/Python (With commercial GenAi FS experience) Python - FastAPI Typescript, React, Next.js or Vite LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama AWS or Azure Your Responsibilities: Collaborate with the development team to build a comprehensive knowledge More ❯

quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with tools such as LangChain, LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG More ❯

quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with tools such as LangChain, LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG More ❯

quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with tools such as LangChain, LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG More ❯

quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with tools such as LangChain, LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG More ❯

quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with tools such as LangChain, LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG More ❯

CI/CD pipelines. Understanding of solution architecture principles - scalability, security, maintainability. Excellent communication skills and the ability to work across teams and domains. Bonus: Experience with Generative AI , LangChain , Semantic Kernel , or Power Platform . Why Join? Work on meaningful projects that span healthcare, environmental, and safety domains. Be part of a team that values innovation, speed, and collaboration. More ❯

on expertise with LangChain. Experience with AI model deployment and optimization strategies. Technical Expertise Required: Proficient in Python Experienced with REACT.js Familiar with Node.js Knowledge of Docker Understanding of LangChain Experience with cloud platforms such as Amazon Web Services (AWS) or Azure Familiarity with LLMs and RAG technologies Candidates will need to show evidence of the above in their CV More ❯

on expertise with LangChain. Experience with AI model deployment and optimization strategies. Technical Expertise Required: Proficient in Python Experienced with REACT.js Familiar with Node.js Knowledge of Docker Understanding of LangChain Experience with cloud platforms such as Amazon Web Services (AWS) or Azure Familiarity with LLMs and RAG technologies Candidates will need to show evidence of the above in their CV More ❯

Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply MLOps/… LLMOps practices with MLflow, Weights & Biases, and Kubeflow. ?? Youll Bring Strong Python skills and experience with LangChain, Transformers, Hugging Face. Solid grasp of LLM behavior, prompt optimization, and data engineering. Familiarity with vector databases (FAISS, Pinecone, ChromaDB). Hands-on with Linux, Bash/Powershell scripting, cloud environments. Creative problem-solver with excellent communication and collaboration skills. Curious, adaptable, and … responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch More ❯

ll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working — remote-first culture with in-person team sessions for collaboration. Career acceleration — opportunities to own projects, lead development, and shape … needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases More ❯

a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we're building the next generation of our data and AI infrastructure - exploring frameworks like Hugging Face, LangChain, LlamaIndex and agent orchestration systems. We use Cursor and Copilot to speed iteration and experimentation. We're always open to new approaches, whether it's a different data stack, AI … Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Experience working with AI-driven development tools such as Cursor, Copilot, or Replit Ghostwriter. Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Interest in building or orchestrating More ❯

Studio, Power Automate, Power Apps, and custom connectors Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# Experience with: LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices. Contract: 6 Months Rolling Rate: £695 Via Umbrella Location More ❯

Studio, Power Automate, Power Apps, and custom connectors Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# Experience with: LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices. Contract: 6 Months Rolling Rate: £695 Via Umbrella Location More ❯

ahead of the curve with emerging AI tools, frameworks, and trends. What you'll bring: Hands-on experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering. Familiarity with LangChain, LlamaIndex, or similar frameworks. Proficiency in Python or JavaScript for prototyping and integration work. Experience using automation platforms (UiPath, Power Automate, Zapier, n8n) and APIs. Knowledge of vector databases and More ❯

pipelines What We’re Looking For Relentless drive: You execute fast, adapt faster Startup scar tissue : You’ve shipped product with no safety net Fluency with AI/LLMs : LangChain, vector stores, prompt engineering Full-stack firepower : Frontend, backend, infra, no silos Product obsession : You care more about outcomes than outputs Experimental instinct: You build → test → learn → repeat Ideal Background More ❯

pipelines What We’re Looking For Relentless drive: You execute fast, adapt faster Startup scar tissue : You’ve shipped product with no safety net Fluency with AI/LLMs : LangChain, vector stores, prompt engineering Full-stack firepower : Frontend, backend, infra, no silos Product obsession : You care more about outcomes than outputs Experimental instinct: You build → test → learn → repeat Ideal Background More ❯

pipelines What We’re Looking For Relentless drive: You execute fast, adapt faster Startup scar tissue : You’ve shipped product with no safety net Fluency with AI/LLMs : LangChain, vector stores, prompt engineering Full-stack firepower : Frontend, backend, infra, no silos Product obsession : You care more about outcomes than outputs Experimental instinct: You build → test → learn → repeat Ideal Background More ❯

research Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Cloud infrastructure (networking, security, storage, monitoring More ❯

front-end frameworks (e.g. React, Next.js, React Native) and back-end systems (e.g. Node.js, Python). AI integrations: Hands-on experience integrating AI tools and services (e.g. OpenAI, Anthropic, LangChain, Pinecone, speech/video APIs). Prototype mindset: You've built MVPs in fast-moving environments and are comfortable with ambiguity. Cloud/data experience: Familiar with AWS, GCP, or More ❯

Startup (London/Hybrid) Salary : £100k–140k Equity : 1–3% (founding-level) Hybrid working: Central London, 3 days p/week in office. Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics . This is a seed-stage, well-funded company More ❯

For 1-3+ years of experience in full stack development (React + Node or equivalent stack) Experience integrating and fine-tuning LLMs, embeddings, or vector search (e.g. OpenAI, LangChain, Pinecone, Lovable and Google’s Agent Development Kit or equivalent vide coding platforms) Strong frontend sensibility (you care how things feel and look , not just how they run) Comfort building More ❯

For 1-3+ years of experience in full stack development (React + Node or equivalent stack) Experience integrating and fine-tuning LLMs, embeddings, or vector search (e.g. OpenAI, LangChain, Pinecone, Lovable and Google’s Agent Development Kit or equivalent vide coding platforms) Strong frontend sensibility (you care how things feel and look , not just how they run) Comfort building More ❯

For 1-3+ years of experience in full stack development (React + Node or equivalent stack) Experience integrating and fine-tuning LLMs, embeddings, or vector search (e.g. OpenAI, LangChain, Pinecone, Lovable and Google’s Agent Development Kit or equivalent vide coding platforms) Strong frontend sensibility (you care how things feel and look, not just how they run) Comfort building More ❯

For 1-3+ years of experience in full stack development (React + Node or equivalent stack) Experience integrating and fine-tuning LLMs, embeddings, or vector search (e.g. OpenAI, LangChain, Pinecone, Lovable and Google’s Agent Development Kit or equivalent vide coding platforms) Strong frontend sensibility (you care how things feel and look, not just how they run) Comfort building More ❯