4 of 4 Azure AI Jobs in East London

using Terraform or AWS CDK. Exposure to data streaming platforms like Kafka is a bonus. Background in performance optimization, scalability, and security best practices. Desired Skills: Knowledge of AI and Emerging Technologies (Good to have) Understanding of how AI capabilities can be integrated into enterprise applications to enhance user experience, decision-making, and automation. Exposure to … modern AI application patterns such as: Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search) to support semantic search and recommendation systems. Building intelligent features like … AI-powered chatbots , assistants , and question-answering systems using LLMs and conversational agents. Awareness of agentic AI concepts — orchestrating multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain , Semantic Kernel , or Azure OpenAI . Appreciation for ethical AI More ❯

Who are we? Bayezian is a dynamic data science consultancy on a mission to harness the power of Generative AI (Gen AI) and Large Language Models (LLMs) to transform our clients' products and services. Our Generative AI team is rapidly expanding, and we're excited to invite passionate individuals to join us on this … creativity and help bring your ideas to life, all while advancing your skills in this transformative field. What are we looking for? Someone who is deeply enthusiastic about AI and the fast-evolving Gen AI space. As part of our team, you’ll play a key role in delivering cutting-edge Gen AI products … and providing consultancy services to our clients. You will report directly to our Head of Gen AI and collaborate with a talented team of developers and data scientists on a diverse range of projects primarily in the Life Sciences, but could be across multiple industries. You’ll work with the typical LLM stack, including frameworks and tools for More ❯

commercial customers every month. After 15 years of steady growth, we have bold plans to scale even faster over the next three years—and we’re harnessing generative AI to get there. If you’re excited by cutting-edge tech and real-world impact, join us at this pivotal moment. The Role We’re looking for an inquisitive … hands-on Data Scientist Intern (Generative AI/LLM/RAG) for a 4-month internship programme . You’ll join our data and product teams to design, prototype, and evaluate solutions that leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to improve customer experience, internal workflows, and decision-making. Think: building chatbots that tap our … knowledge base, fine-tuning models on call-centre transcripts, or creating smart agents that surface the right maintenance engineer in seconds. You’ll see first-hand how generative AI moves the needle for a growing business. You Will Prototype RAG pipelines —set up vector stores, devise retrieval strategies, and iterate on prompts Fine-tune or adapt foundation models More ❯

first) Salary: £80,000 – £130,000 depending on experience + 10% bonus We’re looking for a highly skilled and innovation-focused GCP Data Engineer to join our AI engineering team. This is a remote-first role (with a London-based HQ) offering the opportunity to build the data infrastructure that powers advanced generative and agentic AI … systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation (RAG) systems using tools like Pinecone, FAISS, Chroma, or PostgreSQL. Develop … infrastructure to support short- and long-term memory in autonomous agents. Work with AI orchestration frameworks (LangChain, LangGraph, CrewAI) to ensure reliable data integration and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI More ❯