51 to 75 of 79 LangChain Jobs in Central London

have: 1+ year of fullstack experience (open to senior/staff-level engineers too) Production experience with Model Context Protocol (MCP) is highly desired Experience working with LLMs, RAGs, Langchain, OpenAI, Claude etc is beneficial Generative AI Product experience Production-grade Python skills Frontend experience with Vue + TypeScript , or React and a willingness to learn Vue Understanding of web 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 ❯

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 ❯

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 ❯

to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex . Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency. Build evaluation pipelines to ensure model reliability and stability. Develop secure and scalable … in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile More ❯

to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex . Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency. Build evaluation pipelines to ensure model reliability and stability. Develop secure and scalable … in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile More ❯

LLMs , tokenisation , and vector-based semantic search Experience working with vector databases (e.g. Chroma, Weaviate, FAISS), and familiarity with relational or graph stores Hands-on experience using frameworks like LangChain , Haystack , or custom orchestration layers Ability to work independently and collaboratively across delivery and engineering teams 🌟 Nice to Have Familiarity with ethical considerations, bias evaluation, and responsible AI deployment Light More ❯

LLMs , tokenisation , and vector-based semantic search Experience working with vector databases (e.g. Chroma, Weaviate, FAISS), and familiarity with relational or graph stores Hands-on experience using frameworks like LangChain , Haystack , or custom orchestration layers Ability to work independently and collaboratively across delivery and engineering teams 🌟 Nice to Have Familiarity with ethical considerations, bias evaluation, and responsible AI deployment Light More ❯

Architectural skills and experience with microservices. A genuine interest in AI and LLMs — from using tools like Cursor and Copilot to experimenting with frameworks such as Hugging Face or LangChain is highly desirable. AI literacy and an interest in using AI tools to improve workflow and product outcomes. Degree in Computer Science (or similar) from a good University highly desirable. … 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). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up environments. Mindset & Attributes: Positive, objective-focused, and collaborative. Willingness to teach and learn More ❯

Architectural skills and experience with microservices. A genuine interest in AI and LLMs — from using tools like Cursor and Copilot to experimenting with frameworks such as Hugging Face or LangChain is highly desirable. AI literacy and an interest in using AI tools to improve workflow and product outcomes. Degree in Computer Science (or similar) from a good University highly desirable. … 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). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up environments. Mindset & Attributes: Positive, objective-focused, and collaborative. Willingness to teach and learn 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 ❯

has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., DSPy, LangChain, or similar) Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for reliability and efficiency Familiarity with data pipelines & integrations Interest in AI process More ❯

has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., DSPy, LangChain, or similar) Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for reliability and efficiency Familiarity with data pipelines & integrations Interest in AI process 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 ❯

where this was necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You can work closely with a Product Manager to understand customer requirements, build a vision for your team, and turn that into More ❯

where this was necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You can work closely with a Product Manager to understand customer requirements, build a vision for your team, and turn that into 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 ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

Build and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track … from idea → production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t just another job - it More ❯

Build and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track … from idea → production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t just another job - it More ❯

vector stores (Chroma, FAISS, Milvus) with sensitive document ingestion pipelines - Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity - Implement agent orchestration using LangChain/LangGraph in completely offline environments - Design secure document processing for classified materials with appropriate data sanitisation - Build monitoring and evaluation systems that operate within air-gapped infrastructure Essential Requirements … optimisation - Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores: Chroma, FAISS, Milvus Orchestration: LangChain, LangGraph for agents Hosting: vLLM, TGI, Ollama on bare metal/private cloud Infrastructure: Air-gapped Kubernetes, local container registries Desirable Skills - Experience with defence/government IT security protocols More ❯

vector stores (Chroma, FAISS, Milvus) with sensitive document ingestion pipelines - Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity - Implement agent orchestration using LangChain/LangGraph in completely offline environments - Design secure document processing for classified materials with appropriate data sanitisation - Build monitoring and evaluation systems that operate within air-gapped infrastructure Essential Requirements … optimisation - Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores: Chroma, FAISS, Milvus Orchestration: LangChain, LangGraph for agents Hosting: vLLM, TGI, Ollama on bare metal/private cloud Infrastructure: Air-gapped Kubernetes, local container registries Desirable Skills - Experience with defence/government IT security protocols More ❯