9 of 9 LangChain Jobs in the South East

ensure accuracy and relevance. • Deep understanding of AI/ML algorithms, LLMs, and modern AI architectures. • Proficiency in Python, SQL and AI/ML frameworks such as Hugging Face, LangChain, scikit-learn, TensorFlow, PyTorch and Semantic Kernel etc. • Develop compelling data visualizations and dashboards to support storytelling and real-time insights. • Ensure compliance with data governance, model explainability, and ethical More ❯

services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills, clearly articulating technical concepts to diverse stakeholders. Excellent organisational, time management, and prioritisation skills. More ❯

business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. 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. … learning, PI development (Flask/FastAPI), and writing clean, maintainable code. SQL: Expertise in querying, database design/optimization, stored procedures, functions, partitioning/clustering strategies for BigQuery tables. LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/analytics, BigQuery ML for 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 ❯

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 ❯

that powers our AI and Generative AI applications Build full-stack solutions by connecting intuitive front-ends with robust back-end systems Integrate APIs and open-source libraries like LangChain and Hugging Face Work in agile sprints, collaborating closely with developers, designers, and product managers Participate in code reviews, pair programming, and technical workshops Test your code at every level … apply it in a real-world setting, either through your own learning, courses or work experience You're curious about AI and machine learning, especially tools like OpenAI or LangChain You've dabbled in HTML, CSS or JavaScript, and want to grow your front-end skills You enjoy solving problems and breaking them down into clear, logical steps You're More ❯

apply it in a real-world setting, either through your own learning, courses or work experience You’re curious about AI and machine learning, especially tools like OpenAI or LangChain You’ve dabbled in HTML, CSS or JavaScript, and want to grow your front-end skills You enjoy solving problems and breaking them down into clear, logical steps You’re More ❯

on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches.Experience deploying to and managing workloads on MCP or distributed processing environments.Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.Ability to write clean, efficient, and well-documented code in a collaborative environment.Desirable:Experience with multi-agent coordination or LLM-based autonomous agents.Background in distributed systems More ❯

to detail in documentation and handover readiness Ability to translate friction points into practical system improvements Nice-to-Haves Experience in agency, startup, or creator-tech environments Familiarity with LangChain, vector search, or building internal GPT-based apps Comfortable operating in a hybrid technical/ops role Experience using AI or automation to streamline internal workflows Why This Role Matters More ❯