12 of 12 CrewAI Jobs in the Thames Valley

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 ❯

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 ❯

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 ❯

/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 ❯

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 ❯

model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform Engineering More ❯

model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform Engineering More ❯

communicator who can explain technical concepts to non-technical stakeholders. Awareness of the ethical and safety considerations in deploying AI systems. Desirable: Experience with agentic AI frameworks (e.g. AutoGPT, CrewAI, LangGraph, ReAct). Background in conversational design, human-AI interaction, or reinforcement learning. Familiarity with RAG, vector databases, or simulation environments. More ❯

Define KPIs that measure impact on speed, quality, and cost of clinical trials. Innovative & Experimentation: Stay ahead of the curve on Gen AI and agentic frameworks (e.g., LangChain, Autogen, CrewAI). Evaluate emerging tools and models for integration into the product stack. Process Optimization and Quality Management: Apply Lean and Six Sigma principles to streamline AI-driven workflows, reduce operational … envioronments Excellend communication and stakeholder management skills Bonus Points: Advanced degree in life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a leading More ❯

teams (links to repos, case studies, or live services). Desired Node.js alongside Python for services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python …/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/admins, used More ❯