776 to 800 of 1,340 Azure Jobs in the South West

both engineers and non-engineers Nice to have (not blockers): Experience in MSP or complex multi-client environments Exposure to cloud integrations (AWS/Azure) Fortinet certifications (NSE5–8/FCP/FCSS) Location: UK - Remote Contract: 3 months Rate: to £450 per day Start: week 1/ ...

both engineers and non-engineers Nice to have (not blockers): Experience in MSP or complex multi-client environments Exposure to cloud integrations (AWS/Azure) Fortinet certifications (NSE5–8/FCP/FCSS) Location: UK - Remote Contract: 3 months Rate: to £450 per day Start: week 1/ ...

both engineers and non-engineers Nice to have (not blockers): Experience in MSP or complex multi-client environments Exposure to cloud integrations (AWS/Azure) Fortinet certifications (NSE5–8/FCP/FCSS) Location: UK - Remote Contract: 3 months Rate: to £450 per day Start: week 1/ ...

both engineers and non-engineers Nice to have (not blockers): Experience in MSP or complex multi-client environments Exposure to cloud integrations (AWS/Azure) Fortinet certifications (NSE5–8/FCP/FCSS) Location: UK - Remote Contract: 3 months Rate: to £450 per day Start: week 1/ ...

Azure Cloud Infrastructure Engineer Location: 1 day a week onsite in Bristol Salary: Up to £70k + Generous benefits, pension, and bonus scheme Tech Stack: Azure, Terraform/Bicep, AKS We’re proud to be partnering with a leading organization in their search for an experienced Azure Cloud Infrastructure Engineer to design, build, and maintain their Azure cloud environment and supporting infrastructure. Key Responsibilities Design, build, and manage Azure cloud infrastructure and the Internal Developer Platform. Develop and maintain Infrastructure as Code using Terraform and/or Bicep. Implement and enhance CI/ ...

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 ...

workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/… solutions or tools such as Jenkins and Concourse. Cloud Platforms: Hands-on knowledge of AWS, Azure, or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and administering Linux or Unix-based solutions, including virtualization and containerization techniques. Roles ...

workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/… solutions or tools such as Jenkins and Concourse. Cloud Platforms: Hands-on knowledge of AWS, Azure, or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and administering Linux or Unix-based solutions, including virtualization and containerization techniques. Roles ...

Innovation You’ll design innovative solutions, modernise legacy systems, and shape the firm’s technology strategy. Strong experience in enterprise/solutions architecture, cloud (Azure), integration patterns, and familiar with DevSecOps practices . This role is ideal for an experienced Solutions Architect ready to step up, or a current ...

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 ...

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 ...

Evaluate emerging technologies and methodologies to enhance delivery practices. Have an awareness of different technologies used within a typical data stack, such as Databricks, Azure Data Factory and Power BI. Knowledge of data warehousing and data modelling approaches and appropriate use. ...

Evaluate emerging technologies and methodologies to enhance delivery practices. Have an awareness of different technologies used within a typical data stack, such as Databricks, Azure Data Factory and Power BI. Knowledge of data warehousing and data modelling approaches and appropriate use. ...

Evaluate emerging technologies and methodologies to enhance delivery practices. Have an awareness of different technologies used within a typical data stack, such as Databricks, Azure Data Factory and Power BI. Knowledge of data warehousing and data modelling approaches and appropriate use. ...

Evaluate emerging technologies and methodologies to enhance delivery practices. Have an awareness of different technologies used within a typical data stack, such as Databricks, Azure Data Factory and Power BI. Knowledge of data warehousing and data modelling approaches and appropriate use. ...

Evaluate emerging technologies and methodologies to enhance delivery practices. Have an awareness of different technologies used within a typical data stack, such as Databricks, Azure Data Factory and Power BI. Knowledge of data warehousing and data modelling approaches and appropriate use. ...