APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow More ❯
APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow More ❯
APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3–5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or More ❯
/unsupervised learning. Experience with cloud environments – ideally Azure , but AWS or GCP also considered. Familiarity with LLMs , prompt engineering , and vector databases (e.g., Pinecone, FAISS). Practical experience building production-ready AI applications. Ability to work on-site in Stoke-on-Trent in a collaborative, agile environment. A curious More ❯
Coventry, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
troubleshooting customer issues, finding root causes, and developing improvements to ensure maximal user impact and performance. Our RAG system is based on Python and Pinecone and we have deployed a set of open-source models. We interact with our code and data traceability graph through our main application stack which … LLMs (especially open source models), including production deployment Experience with and foundational understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience More ❯
