understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯
engineering experience, with strong ML or backend focus Proficiency in Python and/or TypeScript, and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling, cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who can reason about More ❯
engineering experience, with strong ML or backend focus Proficiency in Python and/or TypeScript, and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling, cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who can reason about More ❯
Nottingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who can reason about More ❯
deployment processes for applications hosted on Azure. Utilize Azure DevOps or similar tools to orchestrate and streamline the software delivery lifecycle. Azure Cloud Services Expertise: Leverage Azure services including OpenAI, Azure Virtual Desktop, and AKS to architect and deploy scalable and resilient solutions. Optimize the performance, availability, and cost-efficiency of Azure resources through proper configuration and monitoring Containerization and More ❯
deployment processes for applications hosted on Azure. Utilize Azure DevOps or similar tools to orchestrate and streamline the software delivery lifecycle. Azure Cloud Services Expertise: Leverage Azure services including OpenAI, Azure Virtual Desktop, and AKS to architect and deploy scalable and resilient solutions. Optimize the performance, availability, and cost-efficiency of Azure resources through proper configuration and monitoring Containerization and More ❯
deployment processes for applications hosted on Azure. Utilize Azure DevOps or similar tools to orchestrate and streamline the software delivery lifecycle. Azure Cloud Services Expertise: Leverage Azure services including OpenAI, Azure Virtual Desktop, and AKS to architect and deploy scalable and resilient solutions. Optimize the performance, availability, and cost-efficiency of Azure resources through proper configuration and monitoring Containerization and More ❯
Derby, Derbyshire, United Kingdom Hybrid / WFH Options
Adecco
web apps and AI-based analysis tools. The solution will need to be built with a combination of Microsoft Azure SaaS services (Function Apps, Azure SQL, Storage Accounts, Azure OpenAI, AI Search) custom code written in Python for server-side code, and custom HTML/CSS/JS + React for front-end code. At least 2 years commercial web More ❯
Worcestershire, United Kingdom Hybrid / WFH Options
SF Recruitment
A leading UK organisation is seeking a skilled Power Platform Developer to join its Digital & Data team. This is a hands-on role focused on designing and delivering low-code automation solutions using the Microsoft Power Platform, while also incorporating More ❯
Solihull, Major's Green, Worcestershire, United Kingdom Hybrid / WFH Options
SF Recruitment
A leading UK organisation is seeking a skilled Power Platform Developer to join its Digital & Data team. This is a hands-on role focused on designing and delivering low-code automation solutions using the Microsoft Power Platform, while also incorporating More ❯
core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions, retrieving domain-relevant knowledge, and producing context-aware answers with minimal hallucination. You’ll work with state-of-the-art AI stacks, combining More ❯
core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions, retrieving domain-relevant knowledge, and producing context-aware answers with minimal hallucination. You’ll work with state-of-the-art AI stacks, combining More ❯
core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions, retrieving domain-relevant knowledge, and producing context-aware answers with minimal hallucination. You’ll work with state-of-the-art AI stacks, combining More ❯
core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions, retrieving domain-relevant knowledge, and producing context-aware answers with minimal hallucination. You’ll work with state-of-the-art AI stacks, combining More ❯
core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions, retrieving domain-relevant knowledge, and producing context-aware answers with minimal hallucination. You’ll work with state-of-the-art AI stacks, combining More ❯
core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions, retrieving domain-relevant knowledge, and producing context-aware answers with minimal hallucination. You’ll work with state-of-the-art AI stacks, combining More ❯
core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions, retrieving domain-relevant knowledge, and producing context-aware answers with minimal hallucination. You’ll work with state-of-the-art AI stacks, combining More ❯
