17 of 17 LangChain Jobs in the UK excluding London

or transformers-based models for language and vision applications Experience in building AI workflows, agents and UIs Proficiency in using Python, PyTorch or Tensorflow, LangChain - desirable, open-source github contributions Good knowledge of cloud technologies - aws, azure, and compute infrastructure - GPU & HPC Good knowledge of software engineering principles in programming More ❯

designing and implementing API-driven architectures. Experience with vector databases, retrieval-augmented generation (RAG), and multimodal AI systems. Familiarity with AI orchestration tools (e.g., LangChain, LlamaIndex, Ray, Dask). Understanding of MLOps and CI/CD pipelines for AI/ML models. Knowledge of security best practices for AI applications. More ❯

data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or LangChain is a plus. More ❯

/Flask/Django) Database: PostgreSQL, MongoDB, Redis Cloud/Infra: AWS, GCP, Docker, GitHub Actions, CI/CD AI/NLP: OpenAI API, LangChain, Hugging Face, Elasticsearch, Pinecone Others: REST, GraphQL, Figma (for design handoff), Vector DBs, Celery, Kafka No need to build AI from scratch — we'll leverage More ❯

experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM CI/CD/Docker/Kubernetes Soft skills: Agile/SCRUM Strong technical, problem solving and communication skills Keen to learn and More ❯

AI, ML, and LLM technologies. The Tech Toybox includes: TensorFlow/PyTorch for those deep learning dreams ️Cloud platforms to make it all float Langchain & LlamaIndex for connecting the dots What you’ll need to succeed: At least 3 years of proficiency in AI and machine learning technologies, particularly LLMs. More ❯

Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools, such More ❯

Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools, such More ❯

or Azure Experience with CI/CD (Gitlab, GitHub, Jenkins) Any experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain would be highly advantageous We are only able to consider candidates who hold valid DV (Developed Vetting clearance) for this role. More ❯

the future of AI-driven solutions. What Were Looking For: Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building More ❯

experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM Agile/SCRUM Strong technical, problem solving and communication skills Keen to learn and develop new technical & non-technical skills Passionate, self-starting More ❯

experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM Agile/SCRUM Strong technical, problem solving and communication skills Keen to learn and develop new technical& non-technical skills Passionate, self-starting More ❯

dark web analysis applications. WHAT ARE WE LOOKING FOR? Strong programming skills in Python, with experience in AI/ML libraries such as PyTorch, Langchain, and Hugging Face. Hands-on experience with LLMs, retrieval-augmented generation (RAG), and transformer-based architectures such as GPT, BERT, or T5. Experience training and More ❯

of basic algorithms and software development principles. Familiarity with at least one programming language, preferably Python . Bonus: Experience with tools like n8n , Dify , LangChain , or other workflow automation platforms. Ability to quickly understand business requirements and translate them into technical implementations. Creative problem-solving skills and a proactive attitude. More ❯

or be eligible for SC clearance. Practical experience with LLMs, such as OpenAI. Proficiency working with cloud platforms. Familiarity with GenAI frameworks such as LangChain or Vercel AI. More ❯

or be eligible for SC clearance. Practical experience with LLMs, such as OpenAI. Proficiency working with cloud platforms. Familiarity with GenAI frameworks such as LangChain or Vercel AI. #J-18808-Ljbffr More ❯

Rate: Up to £700 p/d 📆 Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure, Databricks, Delta Lake, MLflow, OpenAI, LangChain, RAG, APIs, Power Platform We’re working with a stealth-mode AI-first consultancy that's rethinking what professional services can look like in a … security, standardisation, and alignment What You Need: ✔ 10+ years in product architecture, technical product leadership or platform development ✔ Strong understanding of LLMs, OpenAI APIs, LangChain, RAG, and scalable AI features ✔ Experience building platforms and frameworks in early-stage or consultancy environments ✔ Proven ability to lead cross-functional teams and align More ❯