1 to 25 of 26 Remote LangChain Jobs in London

least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or More ❯

and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯

and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯

and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯

and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯

desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot). Knowledge of embeddings, their applications, and limitations. Hands-on experience in Agile/Lean/XP environments. Excellent communication, problem-solving, and cross-team More ❯

desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot). Knowledge of embeddings, their applications, and limitations. Hands-on experience in Agile/Lean/XP environments. Excellent communication, problem-solving, and cross-team More ❯

testing Develop evaluation pipelines and ensure robust quality control across deployments Essential Skills and Experience: Advanced Python programming skills with experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic More ❯

testing Develop evaluation pipelines and ensure robust quality control across deployments Essential Skills and Experience: Advanced Python programming skills with experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic More ❯

of commercial AI experience Proven experience working in startup environments Strong background in Data or Software Engineering (not Data Science) Experience building and deploying AI pipelines Key Skills Python LangChain/LangGraph/CrewAI LLMs TensorFlow RAG Systems LlamaIndex Additional Info Must have full right to work and live in the UK Immediate start preferred More ❯

debt, and improvement strategies. Partner with Directors, AI Leads, and Infrastructure Leads to align software outcomes with business goals. Leverage your understanding of AI tooling and modern frameworks (e.g. LangChain, DeepSeek) to guide effective integration into internal platforms. Requirements/experience: Proven experience leading software development teams in a scale-up or fast-growth tech environment Strong background in DevOps More ❯

experience Solid Node.js expertise Strong understanding of scalable backend design, REST/GraphQL APIs, and event-driven systems Experience using LLM APIs (OpenAI, Anthropic etc.) or open-source models (Langchain, LLamaIndex, Haystack etc.) Able to work with AWS, Docker, and CI/CD pipelines Tremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where you More ❯

understanding of AI/ML techniques including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot Agents and More ❯

understanding of AI/ML techniques including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot Agents and More ❯

and taking ownership of technical projects. • Excellent analytical, problem-solving, and time management skills. Bonus skills • Experience deploying and managing applications with Azure and Docker. • Familiarity with frameworks like LangChain and Retrieval-Augmented Generation (RAG) models for AI-driven applications. • Experience with pandas for data manipulation. What’s on offer • Regular salary reviews recognising performance and contribution. • Generous annual leave More ❯

Lead Machine Learning Engineer (m/f/d) - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will step up More ❯

GPTs through OpenAI and Microsoft Co-Pilot and leverage the likes of OpenAI for Business to deliver secure, role-aware, enterprise-grade solutions. Implement LLM apps and RAG pipelines (LangChain/LlamaIndex, vector DBs like Pinecone, Weaviate, FAISS). Work with structured/unstructured data to build pipelines (SQL, Spark, Databricks, Kafka/Kinesis) and feature stores. Deploy and scale … leading team of engineers, researchers, and enterprise teams to deliver measurable impact. What we’re looking for: Fluency in modern AI/ML — LLMs (OpenAI, Anthropic, Mistral), embeddings, RAG, LangChain/LlamaIndex. Strong understanding of OpenAI for Business and custom GPT development , including enterprise integration and compliance guardrails. Proven engineering skills — Python (PyTorch/TensorFlow, JAX) , SQL/Spark, data More ❯

GPTs through OpenAI and Microsoft Co-Pilot and leverage the likes of OpenAI for Business to deliver secure, role-aware, enterprise-grade solutions. Implement LLM apps and RAG pipelines (LangChain/LlamaIndex, vector DBs like Pinecone, Weaviate, FAISS). Work with structured/unstructured data to build pipelines (SQL, Spark, Databricks, Kafka/Kinesis) and feature stores. Deploy and scale … leading team of engineers, researchers, and enterprise teams to deliver measurable impact. What we’re looking for: Fluency in modern AI/ML — LLMs (OpenAI, Anthropic, Mistral), embeddings, RAG, LangChain/LlamaIndex. Strong understanding of OpenAI for Business and custom GPT development , including enterprise integration and compliance guardrails. Proven engineering skills — Python (PyTorch/TensorFlow, JAX) , SQL/Spark, data More ❯

Build AI systems that improve accuracy, speed up assessments, and delight users Work with industry experts to turn messy claim processes into AI-driven workflows Deploy solutions using LLMs, LangChain, and RAG at scale What we're looking for 2+ years in AI/ML engineering or research Proven track record taking projects from idea → production → impact Bias to action More ❯

performing engineers while raising the quality bar. Collaborate : Translate product goals into clear technical execution through strong communication and cross-team alignment. Nice to Have Experience with orchestration frameworks ( LangChain, LangGraph ) and multi-agent workflows Knowledge of vector databases, RAG pipelines, and lightweight model hosting Ability to design data pipelines and feedback loops for improving AI-driven features Awareness of More ❯

Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build … talks, case studies) on real-world AI implementation. Required Qualifications Background in AI/ML engineering, applied AI, or technical solutions delivery. Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in More ❯

Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build … talks, case studies) on real-world AI implementation. Required Qualifications Background in AI/ML engineering, applied AI, or technical solutions delivery. Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in More ❯

Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build … talks, case studies) on real-world AI implementation. Required Qualifications Background in AI/ML engineering, applied AI, or technical solutions delivery. Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in More ❯

Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build … talks, case studies) on real-world AI implementation. Required Qualifications Background in AI/ML engineering, applied AI, or technical solutions delivery. Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in More ❯

Hybrid Working Required - 3 Days On, 2 days Remote Our client are an AI-Native FinTech start-up based in London. Brief:We're building an AI-native financial operations platform. As an ML/LLM Engineer, you'll design More ❯