126 to 150 of 742 LangChain Jobs in the UK

Google Cloud Platform experience (or transferable AWS/Azure skills) Database expertise - both MySQL and Firestore Enterprise infrastructure - microservices, Docker, Kubernetes, CI/CD AI & Startup Experience: LLM experience - LangChain, TensorFlow/PyTorch beneficial Degree in Computer Science/Engineering OR equivalent practical experience Startup/product building experience highly valued Entrepreneurial mindset - proactive, independent, collaborative If you're passionate More ❯

Google Cloud Platform experience (or transferable AWS/Azure skills) Database expertise - both MySQL and Firestore Enterprise infrastructure - microservices, Docker, Kubernetes, CI/CD AI & Startup Experience: LLM experience - LangChain, TensorFlow/PyTorch beneficial Degree in Computer Science/Engineering OR equivalent practical experience Startup/product building experience highly valued Entrepreneurial mindset - proactive, independent, collaborative If you're passionate More ❯

Google Cloud Platform experience (or transferable AWS/Azure skills) Database expertise - both MySQL and Firestore Enterprise infrastructure - microservices, Docker, Kubernetes, CI/CD AI & Startup Experience: LLM experience - LangChain, TensorFlow/PyTorch beneficial Degree in Computer Science/Engineering OR equivalent practical experience Startup/product building experience highly valued Entrepreneurial mindset - proactive, independent, collaborative If you're passionate More ❯

years of experience in applied AI, with a focus on natural language processing and data analysis. Experience with generative models, large language models (LLMs), and entity resolution. Experience with LangChain or similar frameworks for building language model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks such as TensorFlow, PyTorch, and More ❯

modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration! Seniority level More ❯

have strong foundational software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g., TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy, and maintain production-grade Machine Learning systems. You're willing to champion best practices in code quality, testing, observability, and More ❯

systems. Excellent analytical and problem-solving skills. Effective communication of complex ideas. Ability to work independently and collaboratively. Preferred Skills: Experience building scalable applications with LLMs using frameworks like LangChain, LlamaIndex, Hugging Face, etc. Deep knowledge of RAG implementation and enhancements. Benefits & perks (UK full-time employees): Generous PTO and holidays. Comprehensive medical and dental insurance. Paid parental leave More ❯

GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating More ❯

GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating More ❯

GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating More ❯

NOI/IOI, Top Coder, Kaggle and other competitions are preferred. Strong analytical and statistical modeling skills. Experience with machine learning (Generative AI) frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex). Proven track record of applying data science to solve real-world problems. Excellent communication and collaboration skills. Why AI71: Proven performance of our large language models More ❯

GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating More ❯

systems, management products, or business applications. Full-stack development experience with AI technologies and their application to user or backend solutions. Experience with AI tools such as SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Proficiency with front-end technologies (React, Angular, SwiftUI, Kotlin) and back-end technologies (Java, Typescript, Spring, Express). Experience with cloud platforms like More ❯

Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product More ❯

have strong foundational software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade Machine Learning systems. You're willing to champion best practices in code quality, testing, observability and More ❯

Generative AI techniques. RAG Pipelines: Deep understanding and practical experience in developing and optimising Retrieval-Augmented Generation (RAG) pipelines. GenAI Frameworks: Hands-on experience with key frameworks such as LangChain/LangGraph and/or LlamaIndex. LLM Integration: Proven ability to integrate effectively with LLM APIs (OpenAI, Gemini) and ideally experience handling open-source models. Knowledge Graphs for AI: Experience More ❯

in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics More ❯

in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. More ❯

and experience fine-tuning them for specific tasks. Demonstrable experience in utilising different model architectures and training techniques to optimize performance. Familiarity with prompt engineering techniques and frameworks like LangChain, LlamaIndex, or DSpy. Good understanding of LLM models, including other components like VectorDBs and document loaders. Strong analytical and problem-solving skills, with the ability to work with complex datasets More ❯

outputs within set timelines. And any experience of these would be a plus: Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex More ❯

outputs within set timelines. And any experience of these would be a plus: Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex More ❯

outputs within set timelines. And any experience of these would be a plus: Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex More ❯

outputs within set timelines. And any experience of these would be a plus: Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex More ❯

outputs within set timelines. And any experience of these would be a plus: Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex More ❯

to the table: 4+ years of hands-on experience in building and deploying ML models in production environments. Strong proficiency in Python and popular ML Frameworks such as PyTorch, LangChain, Agents. Experience with AWS Cloud, Kubernetes, ArgoCD, Docker, Terraform, Jenkins and strong understanding of CI/CD pipelines for ML and model deployment best practices. Experience with monitoring ML models More ❯