26 to 50 of 84 LangChain Jobs in England

stakeholders across the business Tech stack Python & SQL (essential) GCP (preferred, but flexible depending on experience) LLMs/GenAI/RAG/agentic frameworks (LangChain, LlamaIndex etc.) MLOps tools: Git, CI/CD, Docker, Kubernetes, APIs What you bring Core requirements 5+ years in data science/machine learning Strong ...

Expertise: Experienced in working with large language models, including prompt engineering, RAG, fine‐tuning, agents, evaluation, and safety considerations and frameworks for implementation (LangChain, LangGraph etc...). Research: Reading papers, prototyping, and implementing algorithms (AI or otherwise). MLOps: A strong grasp of CI/CD for models, version control ...

systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure ...

reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red‐teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi‐agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross‐modal reasoning ...

software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g. ...

understand autonomous agent architecture—reasoning, tool‐use, and planning. A Python & Framework Expert: Python is your native language, and you are highly proficient with LangChain, LlamaIndex, AutoGen, or similar frameworks. Cloud Fluent: You have hands‐on experience leveraging AI/ML services across at least one major cloud provider ...

Solution Architect 4+ years of hands-on development with LLMs and autonomous AI agents Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. Understanding ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) Strong written English (C1+) How It Works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

including CI/CD pipelines and MLOps. Hands-on experience with GenAI, including LLM fine-tuning, prompt engineering and frameworks such as LangChain or LangGraph. Experience working in cloud-based data and ML environments, ideally with Azure and Databricks. Strong Python skills and experience deploying models into production environments. Confident ...

delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows - with a sharp eye on latency ...

lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong ...

Excellent stakeholder management and communication skills Desirables Hands-on exposure to AI engineering concepts such as Python, prompt engineering, or agent frameworks Experience with LangChain, LangGraph, LlamaIndex, or similar AI tooling Knowledge of Claude (Anthropic), AI APIs, or agentic workflows Experience working within financial services, reporting, environmental or regulatory environments ...

integrations, and APIs. Proven AI Engineering experience building, testing and operating LLM‐powered systems in production. Hands‐on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or similar. Practical experience with context engineering (RAG pipelines, retrieval strategies, structured outputs, evaluation signals). Demonstrated end‐to‐end ownership across design ...

Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration ...

scikit‐learn and at least one deep learning framework such as PyTorch or TensorFlow . Generative AI: Practical experience with LLM orchestration (e.g., LangChain) and vector databases for RAG workflows. Cloud & DevOps: Professional experience with AWS/SageMaker (or similar) and a strong comfort level with Linux/Unix environments. ...

following domains: Cloud architecture (AWS, Azure, GCP) Enterprise data platforms, analytics, and data governance (Snowflake, Databricks, BigQuery) Integration architectures, APIs, and middleware (LangChain, LlamaIndex, MuleSoft) Security architecture, risk management, and compliance (Zero Trust architectures, identity‐aware AI access, secrets management) AI/ML platforms, responsible AI practices, and model lifecycle ...

with evaluation datasets, benchmarking, annotation workflows, and advanced programming skills in Python. Familiarity with modern AI/ML frameworks and tooling (PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large‐scale datasets, distributed data/ML platforms, and production AI systems. Strong understanding of statistical analysis, experimentation design ...

expertise in Python (or failing that, Java).* Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).* Strong experience with Kubernetes (EKS) and cloud-native architectures.* Proven record of building scalable backend systems and APIs.* Experience mentoring engineers and contributing ...

with a track record of incremental, agile delivery. Hands on development capability, including practical experience with Python and modern AI frameworks (e.g., LangChain, Semantic Kernel, or similar) to build or support agents, chat interfaces, or retrieval augmented solutions. Experience applying software engineering fundamentals: writing tests, structuring user stories, managing iterative ...

5+ years building production-grade Python backends. You know the internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend fundamentals including API design, async ...

expertise in Python (or failing that, Java).* Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).* Strong experience with Kubernetes (EKS) and cloud-native architectures.* Proven record of building scalable backend systems and APIs.* Experience mentoring engineers and contributing ...