151 to 175 of 302 LangChain Jobs in London

would be beneficial, though all we require is an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via More ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced More ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced More ❯

We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia, and India. We are a valued partner to many of the world's largest international financial More ❯

LangChain CrewAI AutoGen GenAI LLM NLP Startup Transformers GetThingsDone AI Brief description of the vacancy We're looking for a Gen AI Scientist to develop, scale, and support our LLM-driven autonomous platform. You'll work with LangChain, AutoGen, CrewAI, and deploy open-source models (LLaMA, DeepSeek) in the Google Cloud. About the company Anecdote is an innovative, AI-first … for urgent AI model fixes or system failures. Qualifications Proficiency in Python and related libraries (e.g., NumPy, SciPy, pandas) is required. Strong production experience with at least one framework: LangChain, AutoGen, or CrewAI. Deep understanding of agentic systems, autonomous workflows, and LLM-based automation. Experience deploying and fine-tuning open-source models (e.g., LLaMA, DeepSeek) in the cloud. 5 years More ❯

deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design … like Guardrails and awareness of ethical practices. About You: Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. GCP/Google Cloud expertise Personal credibility with Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc Proven track record designing More ❯

deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design … like Guardrails and awareness of ethical practices. About You: Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. GCP/Google Cloud expertise Personal credibility with Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc Proven track record designing More ❯

to-end — designing, building, and deploying production-grade AI features powered by the latest large language models like GPT and Anthropic. You’ll work with cutting-edge tools — think LangChain, FastAPI, vector search with Qdrant — building AI agents that automate complex workflows and deliver real impact. What they’re looking for: Deep expertise in Large Language Models (LLMs) and generative … Anthropic. Strong software engineering skills, fluent in Python , and experienced with scalable backend frameworks like FastAPI . Hands-on experience with LLM orchestration and prompt engineering frameworks such as LangChain or LangGraph, plus designing retrieval-augmented generation (RAG) pipelines. Familiarity with vector databases like Qdrant, Pinecone, or Redis for low-latency AI retrieval. Experience deploying, monitoring, and scaling AI workloads More ❯

AI Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have the More ❯

AI Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have the More ❯

AI Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have the More ❯

life. Requirements: NLP & ML Background : Strong experience in deep learning and natural language processing, with an emphasis on large language models. Tooling Fluency : Comfortable with libraries like Hugging Face, LangChain, or PyTorch, and evaluation frameworks. Production Readiness : Prior experience shipping AI models into live environments, with attention to reliability and observability. Research Mindset : Curious and methodical, with the ability to More ❯

life. Requirements: NLP & ML Background : Strong experience in deep learning and natural language processing, with an emphasis on large language models. Tooling Fluency : Comfortable with libraries like Hugging Face, LangChain, or PyTorch, and evaluation frameworks. Production Readiness : Prior experience shipping AI models into live environments, with attention to reliability and observability. Research Mindset : Curious and methodical, with the ability to More ❯

of standard python packages such as NumPy, Pandas, scikit-learn. Familiarity with data structures, algorithms, and understanding time and space complexity is essential. Frameworks and tools: Experience with LlamaIndex, LangChain Frameworks. Advanced Technologies: Understanding and experience with Retrieval-Augmented Generation (RAG), Graph Databases etc. Cloud Services: Experience with cloud services, preferably AWS. DevOps Tools: Experience with DevOps such as Docker. More ❯

features to life KEY SKILLS AND REQUIREMENTS 3+ years' experience in software engineering (Python, TypeScript, Go, or similar) Practical experience with LLMs, generative AI, or related APIs (OpenAI, Claude, LangChain, etc.) Strong backend/cloud infrastructure knowledge (AWS, GCP, microservices, scalable APIs) Passion for media, creativity, and building innovative AI-driven products Comfortable working in an agile, fast-paced startup More ❯

offs, and prompt tuning Collaborate closely with founders on product, architecture, and research priorities ✅ Core Requirements Proven experience building AI systems with LLMs — you’ve worked with tools like LangChain, LlamaIndex, Haystack, or built your own stack Hands-on with embedding models, vector DBs (e.g., FAISS, Weaviate, Qdrant), and retrieval logic Strong Python engineering skills — you write clean, production-ready More ❯

offs, and prompt tuning Collaborate closely with founders on product, architecture, and research priorities ✅ Core Requirements Proven experience building AI systems with LLMs — you’ve worked with tools like LangChain, LlamaIndex, Haystack, or built your own stack Hands-on with embedding models, vector DBs (e.g., FAISS, Weaviate, Qdrant), and retrieval logic Strong Python engineering skills — you write clean, production-ready More ❯

to identify high-impact AI/ML opportunities. Champion AI best practices across Product & Engineering teams. Implement AI and ML to improve products. Python expert familiar with FastAPI, TensorFlow, LangChain/LlamaIndex. Well-versed in prompt engineering, embedding & RAG, and vector databases. Knowledgeable in AWS ML capabilities or equivalent cloud platforms. Skilled at translating business requirements into practical AI applications. More ❯

features to life KEY SKILLS AND REQUIREMENTS 3+ years' experience in software engineering (Python, TypeScript, Go, or similar) Practical experience with LLMs, generative AI, or related APIs (OpenAI, Claude, LangChain, etc.) Strong backend/cloud infrastructure knowledge (AWS, GCP, microservices, scalable APIs) Passion for media, creativity, and building innovative AI-driven products Comfortable working in an agile, fast-paced startup More ❯

performance, ensuring business value, security, and scalability. Document technical architecture, prompt logic, and integration patterns for each agent. Requirements Proven experience building LLM-based AI agents using frameworks like LangChain, AutoGen, or similar Strong software engineering background with proficiency in frontend (e.g., React, Vue, TypeScript) and backend (e.g., Python, Node.js, REST APIs) development Deep understanding of prompt engineering, memory management More ❯

Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating More ❯

Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating More ❯

backend engineering projects Why Join Us? Work on cutting-edge GenAI-powered applications at a global scale Collaborate with top engineers in AI, backend, and cloud technologies Innovate with LangChain, vector search, and cloud-native architectures Build enterprise AI applications that impact millions of users If you're excited about backend engineering for AI-powered systems, LLM integrations, and scalable More ❯

Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code(CloudFormation, Terraform), CI/CD (Jenkins,GitHub Actions), Observability(AWS, Grafana) Development tools: GitHub, Jira, Notion, ChatGPT,Gemini,LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. WHAT WE OFFER YOU A front-row seat in a fast scaling, early stage startup. Working on cutting edge problems More ❯

partners to match value proposition to business needs. Thrived as a another fast-paced SaaS startup or scale-up during a high-growth phase. Preferred to have: expertise with langchain and similar tools for multimodal AI projects. What's in it for you: £80-100k base salary with £25k additional commission Top 15% quartile equity options plan through an More ❯