Finance, Retail & Energy sectors. Budget: 55k + full benefits + fully remote Primary requirements: Must be eligible for SC Clearance Backend Development: Experience in building 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 More ❯
remote or hybrid) Primary requirements: Must be eligible for SC Clearance Leadership: Experience in leading projects and people management Backend Development: Experience in building microservices 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 More ❯
LLM-based features You will play a key role in advancing their microservices-based, event-driven architecture. What youll bring: 3+ years of commercial software engineering experience with Python (FastAPI/Flask) and React. Experience with cloud platforms (GCP/AWS/Azure) and Elasticsearch. Familiarity with CI/CD and infrastructure-as-code tools like Docker, GitHub Actions, or More ❯
Python Developer will design and implement high-performance, secure services in the Business Layer, enabling personalised, AI-driven citizen services. Responsibilities Develop and maintain APIs and services using Python, FastAPI/Django/Flask, and modern cloud tooling. Build secure and performant integrations between the Business Layer and other systems. Design and optimise data pipelines and transformation logic for large … of daily interactions. Collaborate within agile teams alongside product owners, architects, and engineers. Essential Skills Proven Python development experience in production. Strong knowledge of RESTful APIs and asynchronous frameworks (FastAPI, AsyncIO, etc.). Experience with cloud environments (AWS Lambda, API Gateway, Serverless). Solid understanding of SQL/NoSQL databases and caching technologies (Redis, DynamoDB, PostgreSQL). Active UK Security More ❯
play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯
play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯
play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯
a collaborative development team solving real-world problems, building scalable solutions from prototype to production, and contributing directly to the companys growth milestones. Key Responsibilities Backend APIs (Python/FastAPI) : Build secure, scalable services powering AI features and data retrieval. RAG & Vector Search : Design and iterate retrieval pipelines using chunking, embeddings, hybrid search, and feedback loops. LLM Integration : Work with … to technical strategy. Innovation : Explore and recommend new tools and frameworks for full-stack and AI development. Experience: 5+ years of full-stack development experience. Strong proficiency in Python (FastAPI) and React/Next.js. Experience with RAG systems, vector databases (pgvector, FAISS, Weaviate), and hybrid search. Deep understanding of chunking, indexing, reranking, and evaluation metrics. Solid experience with SQL and More ❯
and millions of regulatory news items leveraging cutting-edge AI and LLM technologies to deliver actionable insights. Key Responsibilities Design, develop, and maintain scalable backend systems using Python and FastAPI in an API-first architecture. Refactor and rebuild complex components of the existing platform to improve performance, scalability, and maintainability. Take ownership of key system modules while collaborating closely with … the platform. Work cross-functionally with product and data teams to deliver new features and enhance existing capabilities. About You Extensive experience with Python, particularly in API-first development (FastAPI preferred). Strong understanding of modern software architecture, system refactoring, and scalability improvements. Comfortable working autonomously and taking ownership of major system areas, while maintaining a hands-on, collaborative approach … Knowledge Graphs, RDF, or OWL would be an advantage, but is not required. Familiarity with financial services or regulatory technology is beneficial, though not essential. Tech Stack Backend: Python (FastAPI) Frontend: Next.js/React Database: MongoDB Caching/Queueing: Redis Cloud: Azure (moving to GCP; AWS possible in the future) What We Offer Flexible remote working (London office available for More ❯
