1 to 25 of 44 LangChain Jobs in the UK excluding London

and stay up to date with the latest advancements in AI, ML, and deep learning. Write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks. Participate in model evaluation, consulting other teams and helping out CEO of the unit . Requirements: Bachelor’s or Master’s More ❯

NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model More ❯

the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM 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 ❯

and server management via shell Practical experience through internships or personal projects Nice to have Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Knowledge of 2D graphics editors and SVG (yep, it gets quite nitty gritty) Previous More ❯

knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade Machine Learning systems. You're willing to champion best practices in More ❯

with cloud platforms (GCP preferred) and infrastructure automation Ability to design and implement scalable, production-grade systems Nice to have Experience with AI frameworks (LangChain, Llama Index, RAG-based systems) Knowledge of vector databases (PGVector) and PostgreSQL optimization Familiarity with SVG and 2D graphics development Previous experience in fast-paced More ❯

including leading AI/ML initiatives. Expertise in LLM-driven architectures, prompt engineering, and fine-tuning. Strong hands-on experience with AI frameworks like LangChain, OpenAI APIs, and Hugging Face. Deep understanding of multi-agent systems, decision-making algorithms, and reinforcement learning. Experience with cloud-based AI deployment (AWS, GCP More ❯

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 More ❯

/IOI, Top Coder, Kaggle). Technical Skills : Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex. Track Record : Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems. Collaboration : Excellent communication and More ❯

in an agile, test-first environment. Excellent communication skills and a collaborative, mentorship-oriented mindset. Nice to have Prior exposure to LLM orchestration (LangGraph, LangChain, semantic caching, vector DBs). Domain interest in music tech, live events, ticketing, or marketing-tech. Experience with SST.dev, CDK, or other IaC frameworks. Product More ❯

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. More ❯

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. More ❯

travel benefits, and remote work options What they're looking for: Strong backend skills (Python, Go, JS, etc.) and experience with GenAI tools (OpenAI, LangChain, Hugging Face) Solid ML fundamentals and experience with LLM challenges (prompting, evals, latency, hallucinations) Cloud-native engineering mindset (AWS/GCP, Docker, K8s, IaC) Bonus More ❯

and now it's time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI More ❯

and implementing machine learning models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies, deployment strategies and optimisation techniques Familiarity with containerisation and orchestration technologies including More ❯

for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment More ❯

using generative AI tools and foundational models, including prototypes and production-ready solutions. Proficiency with modern LLM/AI tools (e.g., LlamaIndex, Amazon Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem. Experience with AWS AI/ML services such More ❯

a focus on producing AI/ML solutions. At least 3 years strong programming skills in Python & proficiency with ML frameworks (e.g., TensorFlow, PyTorch, LangChain). Proficiency in cloud technologies (Azure/AWS) Good working knowledge in Java Spring boot & ReactJS All applicants must demonstrate they have a legal right 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 ❯

software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a keen eye 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 ❯

like pandas , numpy , and experience with data pipelines. Domain experience in finance (liquidity, risk, balance sheet, collateral, etc.). Familiarity with frameworks such as LangChain , Semantic Kernel , or similar. Prior experience working with AI evaluation techniques and agent orchestration . Understanding of cloud AI platforms (AWS, Azure, or GCP). More ❯

Skilled in managing large databases like PostgreSQL Experience with container orchestration tools such as Docker and Kubernetes Hands-on with LLM libraries such as LangChain , LangGraph , LlamaIndex or Ollama . But....Most importantly, you’re passionate about AI innovation and solving complex challenges 🤖 🎉 Why this role? This is your chance to More ❯

focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who More ❯