1 to 25 of 238 Foundry Jobs

orchestration and AI evaluation techniques.Experience integrating APIs, data platforms and enterprise systems.Excellent analytical, problem-solving and troubleshooting skills.Experience with Microsoft Copilot Studio, Azure AI Foundry, Power Platform and related technologies.Strong written and verbal communication skills, with the ability to clearly document technical solutions and explain trade-offs to both ...

serving thousands of users.Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection.Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.Experience implementing MLOps and LLMOps practices, including CI/ ...

serving thousands of users.Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection.Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.Experience implementing MLOps and LLMOps practices, including CI/ ...

.* Strong understanding of **model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection**.* Expertise in cloud-native AI development using **Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures**.* Experience implementing **MLOps and LLMOps practices**, including ...

hybrid, requiring 3 days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing ...

hybrid, requiring 3 days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing ...

Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry Machine Learning Natural Language Processing (NLP) What's on Offer Salary of £65,000 - £75,000 Hybrid working - 1 day per week ...

such as React or Angular.Experience designing and building REST APIs and integrating AI capabilities into enterprise applications.Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development.Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases.Experience working ...

such as React or Angular.Experience designing and building REST APIs and integrating AI capabilities into enterprise applications.Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development.Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases.Experience working ...

React or Angular. Experience designing and building REST APIs and integrating AI capabilities into enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. ...

isnt a requirement. What makes this particularly relevant is what happens next. The business is investing heavily in AI, including Azure AI Foundry , so youll get increasing exposure to modern AI technologies alongside your core Data Engineering work. For somebody who wants to develop in that direction without having ...

React or Angular. Experience designing and building REST APIs and integrating AI capabilities into enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. ...

Experience supporting Generative AI, machine learning, large language model (LLM), or agentic AI solutions. Experience with Azure AI, Databricks, Microsoft Copilot Studio, Azure OpenAI, Foundry, or similar AI technologies. Understanding of Responsible AI principles, model monitoring, bias management, and AI governance requirements. Experience within insurance, financial services, or other ...

ScientistsSkillsStrong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry).Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex.Skilled in hypothesis formulation, defining evaluation metrics, conducting ...

/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector, FAISS), containerization and orchestration (Docker, Kubernetes), and distributed computing is advantageous.• Architecture Design: Ability ...

hybrid, requiring 3 days per week onsite in London. You’ll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing ...

pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization and orchestration (Docker, Kubernetes); distributed computing. Architecture Design – end‐to‐end design of Generative and Agentic AI architectures ...

data readiness for AI and the practical path from data foundation to AI value. Opportunity Support: Advance opportunities across the AI Studio, AI Foundry, and AI Factory offerings, with particular emphasis on data strategy, data engineering maturity, and AI-ready data architecture. Business Translation: Translate complex technical concepts into ...

integration Identity management Software Engineering Python REST APIs Git CI/CD Containers Infrastructure as Code Testing AI systems Platform Engineering Kubernetes Azure AI Foundry Databricks Microsoft Fabric Snowflake MLOps/LLMOpstooling Consulting competencies TheAISolutionArchitect should be able to: Facilitate AI discovery workshops. Identify and prioritise business use cases. ...

based frameworks Design, build, and deploy scalable AI/ML solutions using Python and cloud-native services in Microsoft Azure (e.g., Azure OpenAI, Azure Foundry, Azure AI Search) Integrate AI capabilities into enterprise applications and workflows through APIs, microservices, and Azure-based architecture Translate business and technical requirements into ...

architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks and approaches to evaluate model ...

architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks and approaches to evaluate model ...

architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks and approaches to evaluate model ...

architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks and approaches to evaluate model ...

architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks and approaches to evaluate model ...