Central London, London, United Kingdom Hybrid / WFH Options
Staffworx Limited
AI ethics, data privacy, and compliance regulations. Prior experience in multi-agent systems or autonomous AI workflows. Hands-on experience with vector databases (Pinecone, Weaviate, FAISS) and AI embeddings. Remote WorkingSome remote working CountryUnited Kingdom LocationWC1 Job TypeContract or Permanent Start DateApr-Jul 25 Duration9 months initial or permanent Visa More ❯
with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3–5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging More ❯
with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3–5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging More ❯
london (city of london), south east england, united kingdom
The Portfolio Group
with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3–5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging More ❯
frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating LLM-powered systems such as chatbots, summarization tools, content generation workflows, or intelligent data More ❯
london (city of london), south east england, united kingdom
Liberty Towers
frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating LLM-powered systems such as chatbots, summarization tools, content generation workflows, or intelligent data More ❯
products Comfortable working in an agile, fast-paced startup environment DESIRABLE SKILLS Experience with media processing tools (FFmpeg, WebRTC) Familiarity with vector databases (Pinecone, Weaviate) and embedding workflows Background in generative audio/video models or multimodal AI systems HOW TO APPLY Please register your interest by sending your CV More ❯
london (city of london), south east england, united kingdom
Harnham
products Comfortable working in an agile, fast-paced startup environment DESIRABLE SKILLS Experience with media processing tools (FFmpeg, WebRTC) Familiarity with vector databases (Pinecone, Weaviate) and embedding workflows Background in generative audio/video models or multimodal AI systems HOW TO APPLY Please register your interest by sending your CV More ❯
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 code with tests Experience building and evaluating RAG pipelines in a real More ❯
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 code with tests Experience building and evaluating RAG pipelines in a real More ❯
london (city of london), south east england, united kingdom
Nihires
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 code with tests Experience building and evaluating RAG pipelines in a real More ❯
