8 of 8 Anthropic Claude Jobs in the City of London

tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases ...

Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/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 selectively). Competencies & Behaviours Communicates clearly with technical and non-technical teammates. Takes ownership from concept to deploy and through maintenance. Balances technical excellence with pragmatic ...

live examples of implemented solutions. Required Technical Skills Machine Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. Cloud platforms (AWS, Azure ...

building and leading a team from the ground up. Key Skills/Experience: Experience with LLMs, generative AI models, and RAG pipelines. Frameworks: OpenAI, Anthropic Claude, Gemini, and open-source models Agentic AI, Langgraph, Crew AI, Autogen Python Development (Hands-on coding) Must have deployed AI applications ...

Hands‐on with LLMs and agentic frameworks; design and deploy AI systems that augment SDLC (requirements → coding → testing → ops). Tooling & Platforms (practitioner proficiency): Claude Code (Anthropic) for secure, context‐rich code assistance; use with projects, tool‐use, code planning. Google Gemini (Nano/Pro/1.5 ...

latest AI technologies Qualifications: Strong hands on experience with Ruby on Rails, Turbo, AlpineJS, TailwindCSS, AWS, PostgreSQL Experience integrating with LLMs like OpenAI and Claude Strong understanding of scalable architecture and pragmatic software design Comfortable working in cross-functional teams with PMs, UX, and data specialists A product-first ...

comparable subject from a university or business school with an excellent academic track record AI curious: Experience using generalist AI tools like ChatGPT, Claude, Gemini, or other major foundation model providers is a plus Client-obsessed: Confident presenting to C-suite, facilitating workshops, and managing multi-stakeholder relationships ...

Rapid Prototyping: Build functional web-based AI demos from "zero to one" within days (or hours) to support client pitches. AI Stack Integration: Utilize Claude Code Agent, Google Gemini, and OpenAI APIs to implement features like RAG, document analysis, and automated workflows. Full-Stack Lite: Use Python and Streamlit … ensure reliable model outputs for business use cases. Requirements: The "Cursor" User: You are a heavy user of AI coding assistants (e.g., Cursor, Claude Code, GitHub Copilot ). You know how to leverage them to code 10x faster. Python Proficiency: You are comfortable writing clean, modular Python code. Streamlit ...