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 ❯

partners. You will play a critical role in leading the definition, design and delivery of modern data solutions and products. You will have excellent Cloud knowledge, either with Azure or AWS . Applicants are expected to demonstrate the following skills and experience against the following essential criteria: Relevant certifications (e.g. Azure Solutions Architect, Azure Data Scientist, Azure AI, Power Platform Solution Architect). Experience in solution architecture methodologies, frameworks, and best practices. Ability to work with technical and non-technical teams and clearly communicate complex ideas. Experience selecting and implementing multiple data-platform patterns – relational warehousing, NoSQL, data-lakes – and matching each to business need. Proven experience designing … and delivering enterprise-grade solutions across Cloud and on-premises solutions. Strong expertise with Azure Cloud services, Power Platform (Microsoft Dynamics 365, Power Apps, Power Automate, Power BI). Proven experience with a tools and technologies required to enable data-modelling, data catalog, data quality and lineage tools and processes e.g. Purview, Collibra, Profisee. Deep knowledge of Azure 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 ❯