1 to 25 of 733 Permanent LangChain Jobs

and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine-tuning and distillation of large language models. Comfortable with cloud platforms (Azure preferred), CI/CD tools, and More ❯

and ML libraries such as PyTorch, Hugging Face Transformers , or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine-tuning and distillation of large language models. Comfortable with cloud platforms (Azure preferred), CI/CD tools, and More ❯

experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. AI/ML: Hands on experience with training and evaluating BERT-like models in real-world applications, especially in More ❯

/ML teams or initiatives in cross-functional settings Strong proficiency in Python and ML/DL frameworks such as PyTorch, TensorFlow, Transformers, and LangChain Experience with cloud platforms (Azure or AWS) and MLOps practices (Docker, Kubernetes, CI/CD) Demonstrated ability to deliver scalable AI products in real-world More ❯

/ML teams or initiatives in cross-functional settings Strong proficiency in Python and ML/DL frameworks such as PyTorch, TensorFlow, Transformers, and LangChain Experience with cloud platforms (Azure or AWS) and MLOps practices (Docker, Kubernetes, CI/CD) Demonstrated ability to deliver scalable AI products in real-world More ❯

learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the UK. #J More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques. Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...) Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...) Hands-on experience with one More ❯

experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs More ❯

our products. For this role, we're looking for: Strong Python skills and experience with AI/ML approaches and frameworks such as RAG, LangChain, TensorFlow, and PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas, NumPy, scikit More ❯

Unix command line tools. Preferred Qualifications: PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field. Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex. Experience with big data technologies such as Hadoop, Spark, or Kafka. The estimated total compensation range for this position is More ❯

Unix command line tools. Preferred Qualifications: PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field. Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex. Experience with big data technologies such as Hadoop, Spark, or Kafka. The estimated total compensation range for this position is More ❯

Experience with LLMs (e.g., GPT, LLaMA), prompt tuning, and embedding-based retrieval systems. Proficiency in Python and ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain). Familiarity with cloud platforms (AWS, GCP, or Azure), ML Ops practices, and secure data handling. What We Offer: Up to €100,000 Flexible Hybrid More ❯

and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React About Us J.P. Morgan is a global leader in financial services, providing More ❯

years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g. More ❯