26 to 50 of 345 Foundry Jobs in the UK

Python, SQL, and Git skills, with real experience running production data pipelines. Hands‐on experience with a modern cloud data platform - Snowflake, Databricks, Palantir Foundry, or something similar. Experience designing data architectures that scale, and a good handle on integration patterns like ETL/ELT and batch or streaming. ...

Exposure to LLM evaluation and observability practices — e.g. eval harnesses, output guardrails, LLM‐as‐judge patterns, or production‐grade frameworks such as Azure AI Foundry’s evaluation suite — with appetite to develop these as a discipline within the role. Working knowledge of at least one other European language, useful ...

Exposure to LLM evaluation and observability practices — e.g. eval harnesses, output guardrails, LLM‐as‐judge patterns, or production‐grade frameworks such as Azure AI Foundry’s evaluation suite — with appetite to develop these as a discipline within the role. Working knowledge of at least one other European language, useful ...

have experience in one or more of the following: Artificial Intelligence (AI) & Machine Learning Generative AI & Large Language Models (LLMs) Palantir Foundry, Gotham or AIP Data Engineering & Data Analytics Software Engineering Python, Java or similar programming languages Cloud technologies (AWS, Azure or GCP) Data integration, modelling and visualisation Solving ...

. Familiarity with AKS, Docker, or containerized ML environments. Understanding of data governance and security in cloud environments. Experience with AI Foundry, Gen‐AI, Fabric. Soft Skills Strong verbal and written communication. Good documentation and presentation skills. Ability to handle pressure and prioritize effectively in live support environments. Work ...

implementation and handover. Support the identification and shaping of future AI opportunities once the first use cases have demonstrated value. Desirable skills: Azure AI Foundry and Azure Machine Learning. MLOps practices and tools such as MLflow. Containerisation and orchestration using Docker and Kubernetes. Experience developing copilots, AI agents ...

/Experience Required:5+ years in senior engineering roles, with experience leading technical teams.Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services).Proven expertise in building and scaling distributed, cloud-native systems (AKS, microservices, APIs).Experience with LLM application design: RAG, prompt engineering, orchestration ...

Experience Required:5+ years in senior engineering roles, with experience leading technical teams. Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services).Proven expertise in building and scaling distributed, cloud-native systems (AKS, microservices, APIs).Experience with LLM application design: RAG, prompt engineering, orchestration ...

Studio or similar conversational or agent‐based AI technologies Understanding of LLM capabilities, prompt design, and enterprise AI use cases Awareness of Azure AI Foundry and the wider Azure AI ecosystem Familiarity with CI/CD and ALM practices for Power Platform and related technologies Experience in consultancy, professional ...

Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI/Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).Preferred•Delivered AI projects within Agile frameworks•Experience ...

architectures, and design governance processes in large, regulated organisations. Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems. Behavioural Competencies Strong ownership and accountability for delivery outcomes. Clear, confident communication with both technical ...

Exposure to LLM evaluation and observability practices — e.g. eval harnesses, output guardrails, LLM‐as‐judge patterns, or production‐grade frameworks such as Azure AI Foundry's evaluation suite — with appetite to develop these as a discipline within the role. Working knowledge of at least one other European language, useful ...

Exposure to LLM evaluation and observability practices — e.g. eval harnesses, output guardrails, LLM‐as‐judge patterns, or production‐grade frameworks such as Azure AI Foundry's evaluation suite — with appetite to develop these as a discipline within the role. Working knowledge of at least one other European language, useful ...

Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data for LLM discoverability What’s in it for you:Our Total Rewards consist ...

requirements generation, test‐plan creation, coding agents, automated code review, gated workflows and audit evidence. Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling. Experience working with fintechs ...

Experience with low-code/no-code platforms (e.g. n8n, Copilot Studio), MCP, LLM observability tools (e.g. Langfuse), or managed model APIs (Azure AI Foundry, OpenAI, Anthropic).Modern development practices. Familiarity with any of: Docker, Terraform, CI/CD pipelines, Git.Agent orchestration frameworks. Experience with LangChain, Semantic Kernel, AutoGen ...

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 ...

stack solutions using technologies such as React, Node.js, .NET/C#, Python and FastAPI . Integrating Microsoft AI technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable … take ambiguous requirements and turn them into structured, scalable solutions. Microsoft AI experience Experience across the Microsoft AI ecosystem would be particularly valuable, including: Foundry Agents Cognitive Services MCP AI evaluation, testing and observability Previous experience working within a Microsoft Partner, consultancy, MSP or professional services environment would also ...

Technical Skills Python, SQL, and modern data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. ...

Experience Required: 5+ years in senior engineering roles, with experience leading technical teams. Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Proven expertise in building and scaling distributed, cloud-native systems (AKS, microservices, APIs). Experience with LLM application design: RAG, prompt ...

Certifications (e.g., DP-900, AZ-900, DP-203)Familiarity with AKS, Docker, or containerized ML environmentsUnderstanding of data governance and security in cloud environmentsAI Foundry, Gen AI, Fabric experienceSoft Skills:Strong verbal and written communicationGood documentation and presentation skillsAbility to handle pressure and prioritize effectively in live support environmentsWork ...