1,376 to 1,400 of 2,352 Azure Jobs in the Midlands

across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East. About the Role: Job Title – .NET Azure API Architect API Architect Location – Edinburgh, UK Mode of Work – Hybrid 2 Days onsite in week Type of Hiring – Fixed Term Employment (FTE) Project Duration … Description: The NET Azure API Architect will lead the design development and modernization of scalable secure and high-performance API solutions on Microsoft Azure This role is critical for driving the migration and integration of legacy and new services ensuring robust architecture and enabling seamless business operations across ...

across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East. About the Role: Job Title – .NET Azure API Architect API Architect Location – Edinburgh, UK Mode of Work – Hybrid 2 Days onsite in week Type of Hiring – Fixed Term Employment (FTE) Project Duration … Description: The NET Azure API Architect will lead the design development and modernization of scalable secure and high-performance API solutions on Microsoft Azure This role is critical for driving the migration and integration of legacy and new services ensuring robust architecture and enabling seamless business operations across ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

About Us Makutu designs, builds and supports Microsoft Azure cloud data platforms. We are a Microsoft Solutions Partner (Azure Data & AI) and are busy building a talented team with relevant skills to deliver industry leading data platforms for our customers. The Role The Data Engineer role … language and communication skills. Big growth plans are in place to build a broader and deeper technical capability with a focus on the Microsoft Azure technology stack. The position of Data Engineer is a key role in the wider capability of our team. Occasional visits to our Head Office ...

developing and maintaining automated processes that underpin key technologies that are supported by the Identity & Access Management Team; Identity Lifecyle Windows PowerShell Active Directory Azure Active Directory \ Entra ID DNS Group Policy Azure Administration DHCP Microsoft Certification Authority PKI End User operating System security policy SQL Microsoft Defender … MBAM Azure DevOps The Lead Specialist Engineer will also have experience of administering as many of the above as possible. Daily operational duties will include: Incident and Request management via ITSM suite. Management and Monitoring of existing IAM automation services, predominately focusing on Microsoft PowerShell and Graph API. Development ...

best practices across the organisation Upskill team members and contribute to hiring to fill skill gaps What We're Looking For Infrastructure as Code & Azure Expertise Strong hands-on experience with Terraform (syntax, modules, state, workspaces, backend configuration) Deep understanding of the Azure Terraform provider, including limitations … best practices Integrating Terraform into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Familiarity with ARM templates and Azure resource lifecycle management Cloud, Containers & Automation Containerisation and orchestration experience (Docker, Kubernetes) Knowledge of core Azure services (VNets, VMs, Storage, App Services, etc.) Hands-on with Azure ...

globe. The type of things you will be helping out with include: SIEM & Incident Response Working with the MSSP SOC IAM Microsoft Security Stack Azure 3rd Party Assurance Project work BAU activities Key Details: Salary: Up to £55,000 1 x a week in the West Midlands or West ...

Data Engineer Ms Dynamics 365, Azure Data Factory, SQL, SSIS We have an exciting new permanent opportunity for a dynamic Data Engineer to join a fantastic & growing team at the best timing possible as the business has just embarked on a data transformation journey. This role will give ...

upgrade but there are lots of EUC and desktop standardisation projects still to be done; retirement of all Windows 2012 servers; cyber security initiatives; azure cloud migrations Any experience delivering software/application projects will be an added bonus. The role is offered on a hybrid basis with ...

where improvements can be made, build the initial version of internal tools and automation to collect and visualise cloud cost and usage data across Azure and AWS. What You'll Do as Senior FinOps Engineer: Be the SME in the FinOps department, understanding fundamentals and building internal tooling from ...

where improvements can be made, build the initial version of internal tools and automation to collect and visualise cloud cost and usage data across Azure and AWS. What You'll Do as Senior FinOps Engineer: Be the SME in the FinOps department, understanding fundamentals and building internal tooling from ...

where improvements can be made, build the initial version of internal tools and automation to collect and visualise cloud cost and usage data across Azure and AWS. What You'll Do as Senior FinOps Engineer: Be the SME in the FinOps department, understanding fundamentals and building internal tooling from ...

where improvements can be made, build the initial version of internal tools and automation to collect and visualise cloud cost and usage data across Azure and AWS. What You'll Do as Senior FinOps Engineer: Be the SME in the FinOps department, understanding fundamentals and building internal tooling from ...

where improvements can be made, build the initial version of internal tools and automation to collect and visualise cloud cost and usage data across Azure and AWS. What You'll Do as Senior FinOps Engineer: Be the SME in the FinOps department, understanding fundamentals and building internal tooling from ...