126 to 150 of 306 LangChain Jobs in London

facing experience in the design and implementation of AI/ML solutions. Proficient in Python. Expertise in AI frameworks and libraries, such as scikit-learn, PyTorch, Hugging Face Transformers, LangChain, and OpenAI APIs. Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. More ❯

a related AI/ML field Preferred Qualifications You've built AI-powered agents, chatbots, or automation tools—whether at work or for fun—using platforms like OpenAI GPT, LangChain, You.com, or RAG pipelines You get excited about pushing AI models beyond their limits—experimenting with prompt engineering, chaining LLM calls, or optimizing retrieval Experience balancing technical problem-solving with More ❯

products, or business applications.■ Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.■ Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python■ Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java More ❯

system architecture decisions in a product-driven environment. Strong expertise in AI/ML technologies , including experience with modern AI frameworks and LLM integration (OpenAI, Anthropic, Pydantic-AI, LangGraph, LangChain), and deployment of production AI systems. Proficiency in back-end development with Python and Laravel based systems. Experience with RESTful APIs, database design, and server management. Solid understanding of full More ❯

partners to match value proposition to business needs. Thrived as a another fast-paced SaaS startup or scale-up during a high-growth phase. Preferred to have: expertise with langchain and similar tools for multimodal AI projects. What's in it for you: £80-100k base salary with £25k additional commission Top 15% quartile equity options plan through an More ❯

science, and machine learning principles. Demonstrated proficiency in: Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control with Git and using Docker More ❯

data science, and machine learning. Demonstrated proficiency in: Rapid prototyping of Data Science and Machine learning problems on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, with a focus on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control with Git and More ❯

scale. Have owned end-to-end product development before. You've defined, shipped and then owned product features yourself. Extensive experience with Python and proficiency in LLM libraries (e.g., Langchain, LLMFlows). Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Be ambitious and resilient - we are a seed company seeking More ❯

science, and machine learning principles. Demonstrated proficiency in: Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control with Git and using Docker More ❯

experience with GenAI techniques and LLMs , including RAG, long-context inference, prompt tuning, and multi-modal integration. Strong hands-on skills with Python , embedding models, and orchestration libraries (e.g., LangChain, Semantic Kernel, or equivalents). Comfort with MLOps practices , including version control, CI/CD pipelines, model monitoring, and reproducibility. Ability to operate independently, deliver iteratively, and challenge assumptions with More ❯

This is a hands-on role that combines software engineering, ML experimentation, and AI product innovation. You’ll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for operationalising high-performance, real-time AI systems. Key Responsibilities: LLM Agent Development: Design and build intelligent, multi-step LLM agents using frameworks like LangChain … Promote safe, ethical, and transparent AI practices. AI Advocacy: Lead workshops, demos, and documentation efforts to evangelize AI agent capabilities. Experience: Agentic Experience: Hands-on experience with frameworks like LangChain, LangGraph, or similar. Deep AI Knowledge: Strong foundation in AI/ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search. Engineering Excellence: Fluency in Python and TypeScript. Able More ❯

and contribute to business development What you bring: 3–10 years in tech consulting, software engineering, or IT strategy Strong experience with GenAI tools (e.g., AWS Bedrock, Vertex AI, Langchain) Deep understanding of AI/ML, prompt engineering, and modern architectures Excellent communication, problem-solving, and stakeholder management skills STEM or business degree with strong academic performance ? Expect global exposure More ❯

and contribute to business development What you bring: 3–10 years in tech consulting, software engineering, or IT strategy Strong experience with GenAI tools (e.g., AWS Bedrock, Vertex AI, Langchain) Deep understanding of AI/ML, prompt engineering, and modern architectures Excellent communication, problem-solving, and stakeholder management skills STEM or business degree with strong academic performance ? Expect global exposure More ❯

features to life KEY SKILLS AND REQUIREMENTS 3+ years' experience in software engineering (Python, TypeScript, Go, or similar) Practical experience with LLMs, generative AI, or related APIs (OpenAI, Claude, LangChain, etc.) Strong backend/cloud infrastructure knowledge (AWS, GCP, microservices, scalable APIs) Passion for media, creativity, and building innovative AI-driven products Comfortable working in an agile, fast-paced startup More ❯

maintaining monitoring systems for machine learning models. You have excellent communication and collaboration skills, enabling you to effectively work with cross-functional teams. Bonus: Knowledge of frameworks such as LangChain used to orchestrate LLMs Experience in LLM evaluations, debugging and monitoring using tools such as LangFuse or LangSmith #J-18808-Ljbffr More ❯

shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc.). This is an excellent opportunity More ❯

effectively communicate architecture decisions to stakeholders Assess and recommend the right mix of AI tools, libraries, and frameworks for each use case Build proof-of-concepts using tools like LangChain , LangGraph , and Semantic Kernel Apply expert knowledge in Python to develop core components of AI pipelines Design and implement advanced generative AI techniques including: Retrieval-Augmented Generation (RAG) Graph and More ❯

features to life KEY SKILLS AND REQUIREMENTS 3+ years' experience in software engineering (Python, TypeScript, Go, or similar) Practical experience with LLMs, generative AI, or related APIs (OpenAI, Claude, LangChain, etc.) Strong backend/cloud infrastructure knowledge (AWS, GCP, microservices, scalable APIs) Passion for media, creativity, and building innovative AI-driven products Comfortable working in an agile, fast-paced startup More ❯

with LLMs , ML lifecycle tools (like MLflow, Weights & Biases), and cloud deployment . A strong grasp of machine learning algorithms , model development, and evaluation techniques. Experience with frameworks like LangChain , LlamaIndex , or Hugging Face is a big plus. A creative, curious mindset and a passion for solving hard problems with elegant code. Excellent communication skills you can explain complex ideas More ❯

with LLMs , ML lifecycle tools (like MLflow, Weights & Biases), and cloud deployment . A strong grasp of machine learning algorithms , model development, and evaluation techniques. Experience with frameworks like LangChain , LlamaIndex , or Hugging Face is a big plus. A creative, curious mindset and a passion for solving hard problems with elegant code. Excellent communication skills—you can explain complex ideas More ❯

with LLMs , ML lifecycle tools (like MLflow, Weights & Biases), and cloud deployment . A strong grasp of machine learning algorithms , model development, and evaluation techniques. Experience with frameworks like LangChain , LlamaIndex , or Hugging Face is a big plus. A creative, curious mindset and a passion for solving hard problems with elegant code. Excellent communication skills—you can explain complex ideas More ❯

maintaining monitoring systems for machine learning models. You have excellent communication and collaboration skills, enabling you to effectively work with cross-functional teams. Bonus: Knowledge of frameworks such as LangChain used to orchestrate LLMs Experience in LLM evaluations, debugging, and monitoring using tools such as LangFuse or LangSmith Meet the team We’re a growing team of passionate Data Scientists More ❯

for developer tools, open-source culture, and improving developer workflows. Excellent communication and collaboration skills in a remote-first environment. Experience contributing to open-source AI projects. Experience with LangChain, Pinecone, or similar AI frameworks/infrastructure. Past experience building AI features into developer platforms or tools. Benefits Our entire company is distributed, so we take remote work seriously. If More ❯

Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating More ❯

Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating More ❯