19 of 19 LangChain Jobs in the South East

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 ❯

control (Git) Experience working in cloud environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively in a remote team Bonus Points Experience with Hugging Face Transformers , LangChain , or RAG pipelines Knowledge of MLOps tools (e.g. MLflow, Weights & Biases, Docker, Kubernetes) Exposure to data engineering or DevOps practices Contributions to open-source AI projects or research publications What More ❯

of Docker , CI/CD workflows, and automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language Models (LLMs) and intelligent automation workflows Experience building high-availability, scalable systems using microservices or event-driven architecture More ❯

What we need from you: Strong background in NLP and AI, particularly with LLMs and RAG-based solutions Proficiency in Python and modern AI/ML libraries (e.g. HuggingFace, LangChain, TensorFlow, PyTorch) Experience with data exchange and storage frameworks (e.g. APIs, SQL, NoSQL, Parquet) Track record of delivering technical solutions in Agile environments Excellent communication skills and a collaborative mindset More ❯

compliance teams to deliver real-world results What We’re Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points For • Experience More ❯

you to have: Experience in AI/ML engineering or applied machine learning. Proven experience delivering production-grade AI solutions. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and More ❯

across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and More ❯

vector search and embeddings (e.g. FAISS, Pinecone) Understanding of prompt engineering and few-shot learning Ability to work independently in a hybrid, agile environment Nice to Have Experience with LangChain, LlamaIndex, or similar orchestration tools Exposure to cloud platforms (AWS/GCP) and containerisation (Docker) Familiarity with NLP evaluation metrics and safety frameworks More ❯

Azure Experience building full web applications (not just websites) Product-focused mindset with attention to UX and code quality Bonus: experience or interest in AI/LLMs (OpenAI, Claude, LangChain, etc.) Preferably from mid-large company environments Interview Process: 30-minute intro (including some technical Qs) Technical task (approx. 3-4 hours) Final interview with programme leadership If you're More ❯

Microsoft Fabric* Cloud, preferably Azure (Data Lake, Functions, App Services)* Containerisation with Docker and CI/CD pipelines* MLOps tooling (MLFlow, Git-based versioning, environment tracking)Desirable Skills & Interests* LangChain, Langflow, or similar frameworks for building AI agents* LLMs or intelligent automation workflows* High-availability, scalable systems (microservices, event-based architectures)* Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless More ❯

practices Background in integrating enterprise tools and systems (REST APIs, M365, iManage, etc.) Strong problem-solving mindset and collaborative approach Bonus experience: Typescript/Node.js (for custom node development) LangChain, OpenAI APIs, LLM/agent-based design Microsoft Power Platform or Copilot Studio Background in legal, financial or other regulated environments If you’re looking for a forward-thinking role More ❯

a plus). Preferred: Knowledge of AI libraries (e.g. OpenAI, PyTorch), SQL/NoSQL databases, or Node.js/TypeScript for custom n8n nodes. Experience with Microsoft Power Platform or LangChain frameworks. Benefits £70k–£75k salary benefits. 25 days holiday (increasing with service) plus holiday buy scheme. Generous pension scheme (up to 10% employer contribution). Private medical insurance from month More ❯

Platform (Power Apps, Power Automate, Copilot Studio) Strong programming skills in Python and/or C# Experience with Azure OpenAI, Microsoft Graph API, and Azure AI Search Familiarity with LangChain, Semantic Kernel, or similar orchestration tools Understanding of cloud deployment, security, and identity management in Azure Exposure to financial services or other regulated environments is a strong plus Passion for More ❯

or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g., Semantic Kernel, Langchain, and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong knowledge of data engineering principles More ❯

pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token More ❯

or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g. Semantic Kernel, Langchain and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong knowledge of data engineering principles More ❯

Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards: Monitoring, logging, cost optimisation, error handling Ideal Candidate Senior-level engineer with proven experience delivering client-facing demos or production More ❯

Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error handling, cost optimisation Outside IR35 Fully Remote Immediate start 3-6 Month Contract Please send CV More ❯

and advocate for DevOps and Infrastructure as Code (IaC) practices using tools like CDK or Terraform. Stay current with developments in LLM orchestration, multi-agent systems, prompt engineering, and LangChain/LangGraph frameworks. Minimum Requirements: Experience as a Software Engineer, and AI/ML or LLM-centric development. Proven track record with LangGraph, LangChain, or similar orchestration frameworks. Expert in More ❯