1 to 25 of 46 CrewAI Jobs in the UK excluding London

fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects . More ❯

fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects . More ❯

fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects . More ❯

/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability and evaluation tools for LLMs such as TruLens or Helicone. Experience with AI safety and reliability frameworks like Guardrails AI. More ❯

agents with enterprise data, APIs and infrastructure Lead technical design reviews and guide delivery teams Support pre-sales, proposals and client workshops Research and prototype emerging frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using More ❯

agents with enterprise data, APIs and infrastructure Lead technical design reviews and guide delivery teams Support pre-sales, proposals and client workshops Research and prototype emerging frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using More ❯

agents with enterprise data, APIs and infrastructure Lead technical design reviews and guide delivery teams Support pre-sales, proposals and client workshops Research and prototype emerging frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using More ❯

AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in More ❯

AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in More ❯

AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in More ❯

in one or more business domains such as finance, housing, operations, or customer service. Preferred Extras: Degree in Computer Science, AI, Data Science, or related fields. Experience with LangChain, CrewAI, Autogen, MLOps, CI/CD, and enterprise systems like SAP, Oracle, or Salesforce. How You'll Measure Success Number of intelligent agents deployed and adopted. Significant reduction in manual effort More ❯

in one or more business domains such as finance, housing, operations, or customer service. Preferred Extras: Degree in Computer Science, AI, Data Science, or related fields. Experience with LangChain, CrewAI, Autogen, MLOps, CI/CD, and enterprise systems like SAP, Oracle, or Salesforce. How You'll Measure Success Number of intelligent agents deployed and adopted. Significant reduction in manual effort More ❯

or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds Nice to have Azure AI Services or Cognitive Search Consulting or More ❯

or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds Nice to have Azure AI Services or Cognitive Search Consulting or More ❯

cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-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 More ❯

cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-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 More ❯

microservices using Python with FastAPI, Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms More ❯

/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Able to be SC cleared - Must hold British passport (we have MoD projects) There are also some things that would More ❯

/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Able to be SC cleared - Must hold British passport (we have MoD projects) There are also some things that would More ❯

using either Python with FastAPI, Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms More ❯

What We’re Looking For: Lead/Managerial experience as a GenAi Developer/Python (With commercial GenAi FS experience) Python - FastAPI Typescript, React, Next.js or Vite LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama AWS or Azure Your Responsibilities: Collaborate with the development team to build a comprehensive knowledge pool of More ❯

to-end while also helping shape the company’s broader AI strategy. You Will: Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs and … PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI security, model explainability More ❯

to-end while also helping shape the company’s broader AI strategy. You Will: Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs and … PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI security, model explainability More ❯

to-end while also helping shape the company’s broader AI strategy. You Will: Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs and … PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI security, model explainability More ❯

ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot Agents and a relevant More ❯