6 of 6 Remote/Hybrid LangGraph Jobs in Central London

TensorFlow . Deep understanding of LLMs, Generative AI, prompt engineering, RAG architectures and vector databases . Experience with frameworks and tooling such as LangChain, LangGraph or similar open-source AI toolkits . Experience fine-tuning, evaluating, deploying and monitoring large-scale AI systems. Strong understanding of MLOps and/ ...

Version Control (DVC). Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering. Knowledge of LLMOps frameworks such as LangChain, LangGraph, or LangSmith. Experience taking ML models from experimentation into production environments. Strong communication skills with the ability to explain technical concepts to both technical ...

looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually and face-to-face Experience coaching, mentoring ...

developers Conducting regular 121's, setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/… closely related languages Hands-on experience building or maintaining LLM-powered applications - prompt design, multi-provider integration, and agent orchestration (e.g. LangChain/LangGraph or an equivalent framework) Strong RDBMS experience (e.g. PostgreSQL) and comfort with document stores (e.g. MongoDB) and caching layers (e.g. Redis) Comfortable working with AI-assisted ...

Agentic AI across multiple engineering teams Defining reusable engineering standards, architectures and implementation patterns Designing and evolving production RAG and retrieval architectures Establishing effective LangGraph/LangChain patterns for agentic applications Improving AI evaluation, testing, observability and production monitoring Developing guardrails, controls and approaches to hallucination and model risk Supporting … software engineering fundamentals Production Machine Learning/AI engineering AWS Agentic AI and LLM-based applications Retrieval Augmented Generation (RAG) LangChain and/or LangGraph Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch ...

solving skills Comfortable working autonomously and making technical decisions, while also collaborating closely with a highly technical team Experience with LangChain and/or LangGraph would be beneficial but is not essential. Experience in any of the following would be beneficial: LangChain and/or LangGraph Python memory management …/AI Software Engineer/Machine Learning Software Engineer/AI Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Model Inference/Model ...