1 to 25 of 216 Remote/Hybrid Contract Azure Jobs

Role Overview Role/Job title: Azure AI Architect Work Location: London, Tunbridge wells, Ipswich, Bolton Role type - Permanent/Fixed Term/Contracting: Contracting Mode of working Hybrid/office based: Hybrid If Hybrid, how many days are required in office?: 3 days The Role As an Azure AI Architect, you will lead the end to end architecture, design, and delivery of enterprise AI solutions built on Azure AI Foundry, Azure OpenAI, Azure AI Document Intelligence design and deploy. You should have hands-on experience in Azure Data Factory, Azure ML Service ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search … stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution teams. Lead end-to-end solution designs including API contracts, integration patterns (Azure Functions, Logic Apps, Event-driven), security boundaries, and observability. Architect document intelligence pipelines (classification/extraction/OCR/validation) and integrate with downstream ...

Role/Job title: DevOps Engineer Mode of working Hybrid/office based: Office (Wokingham) The Role We are looking for an experienced Azure .NET and React Full Stack Developer … with strong automation skills to join our fast-growing team. The ideal candidate will design, implement, and maintain scalable and secure applications on Microsoft Azure, ensuring high reliability and performance for large-scale data processing (terabyte level). You will collaborate closely with Architects, DevOps Engineers, and other developers ...

Full Stack Engineer - Azure, C#, .Net, React/ReactJS Outside IR35 12 Month Contract Fully Remote (UK only) £400 - 450 Per Day We're currently working with a London based MedTech company who are searching for a Full Stack Engineer who has extensive experience working with Azure, C# … will see you working alongside a small existing team of developers, adding additional capacity to make business critical updates and enhancement to their existing Azure based core platform, with the bulk of the work will focus on enhancing the workflow engine! We are looking for an experienced Full Stack ...

Role Overview Role/Job title: Azure AI Engineer Work Location: London, Tunbridge wells, Ipswich, Bolton Mode of working Hybrid/office based: Hybrid If Hybrid, how many days are required in office?: 3 days The Role In this role, the candidate will join a cutting-edge engineering team … focused on designing and implementing enterprise-grade AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. The position offers the opportunity to work with best-in-class Microsoft AI technologies to build intelligent automation capabilities, accelerate business processes, and elevate digital experiences across ...

outputs. Implement prompt chaining and multi-turn orchestration patterns for complex workflows (reasoning, planning, tool use, and validation). Build LLM-powered features on Azure (e.g., Azure OpenAI, Azure Functions). Utilize and manage RESTful APIs/SDKs to integrate model calls within web services, back … function/tool calling, safety filters). Understanding Prompt Injection and other security aspects of AI. Practical experience deploying LLM solutions on Azure (e.g., Azure OpenAI, Azure Functions, App Service, Key Vault). Proficiency with REST APIs and JSON; integrating LLM calls into applications/services using ...

cloud-based data warehouse essential for commercial, financial modeling, and operational decision-making. With the platform evolving towards a modernized Medallion Architecture and Azure-native ingestion patterns, your expertise will drive architectural direction and technical leadership. Key Responsibilities: Data Architecture & Platform Engineering: Lead the design and implementation of scalable … cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated layers ...

Azure Infrastructure Engineer Job Description Role Overview Role/Job Title: Azure Infrastructure Engineer Work Location: Wokingham Mode of Working: Hybrid Office Requirement (if hybrid): 3 days The Role To be responsible for delivery of application environments in Azure infrastructure for project work. Should be able … understand the requirements to provision azure resources in reference to architecture and solution design document. Should be able to demonstrate the progress, dependencies, risks and be able to resolve conflicting priorities and deliver as per the timelines and costs. Your Responsibilities Must experience in creating Azure resources using ...

Azure Data Engineer - Outside IR35 - Hybrid ( 3 Days in London) About the Role The IT Data Engineer is responsible for analysing, designing, and delivering software and data solutions that improve business processes, enhance decision-making, and optimise analytics. Working within a small, high-performing IT team, you will develop … party teams where required Drive continuous improvement, DevOps, CI/CD, and test automation Champion service readiness and support considerations Skills & Experience Strong Microsoft Azure knowledge, including Azure SQL Database, Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics Solid data engineering background ...

processes and data warehousing concepts Experience integrating Python scripts within Power BI Strong analytical and problem-solving skills Preferred Qualifications Experience with Azure services (Azure Data Factory, Azure SQL, Azure Synapse) Key Skills Data visualization and storytelling Advanced DAX calculations Python-based automation To apply ...

training, validation, deployment, and monitoring of models. Support scalable ML solutions across use cases like recommendations, forecasting, and automation. Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems. Automate model deployment workflows using CI/CD tools (e.g. GitHub Actions, Azure DevOps). … with data scientists to productionise research code and models into scalable services. Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor, and custom logging frameworks. Continuously improve and manage infrastructure using Terraform, Docker, and Fargate. Your Profile Essential skills/knowledge/experience: Proven ...

software lifecycle standards. Automate operational workflows, incident remediation, and escalation processes. Essential Skills & Experience Proven experience in cloud engineering with professional certifications (AWS, Azure, or GCP preferred). Ability to translate High-Level Designs (HLD) and Low-Level Designs (LLD) into implementable solutions. Strong scripting skills in PowerShell, Bash ...

solutions using modern development tools and accelerators such as GitHub Copilot and Amazon CodeWhisperer. Cloud & Data Platforms: Familiarity with cloud platforms and services (AWS, Azure, GCP, Kubernetes) and experience with relational and NoSQL databases (SQL, PostgreSQL, DB2, MongoDB). Preferred Professional & Technical Expertise Specialized AI Domains : Experience ...

Power Platform (Power BI, Power Automate). Understanding of integration with CRM or HR modules. Prior consulting experience with global customers. Familiarity with Azure DevOps for backlog and sprint tracking. Knowledge of product lifecycle management tools and governance. Strong presentation and facilitation skills. Experience in change management and user ...

transformations, and lineage; re-engineer manual processes for scalability and automation. Ensure adherence to data standards, security, GDPR, and quality requirements. Use agile methodologies (Azure DevOps) to manage tasks, dependencies, and deliverables. Support continuous improvement, monitoring, and CI/CD deployment of data products. Knowledge & Skills: Strong technical knowledge ...

Agile delivery environments Nice to Have: Experience with Python or R for analytics or data transformation Familiarity with cloud data platforms such as AWS, Azure, or Snowflake Knowledge of BI automation and CI/CD pipelines for Tableau content Experience mentoring or training business users in Tableau Exposure ...

government, or other highly regulated environments. Strong knowledge of enterprise architecture frameworks such as TOGAF, NAF, or Zachman. Hands-on experience with cloud platforms (Azure, AWS) and DevOps/CI-CD practices . Strong understanding of Web Applications, Microservices, APIs, authentication/authorization protocols , and data architecture . Knowledge ...

modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You'll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities … Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy scalable data ...

Proven experience delivering and supporting large-scale Microsoft 365 environments. Strong knowledge of Exchange Online, SharePoint Online, Microsoft Teams, and Intune. Deep understanding of Azure AD, identity and access management, and hybrid configurations. Experience designing and implementing governance, security, and compliance frameworks. Hands-on ability with PowerShell scripting ...

Senior Systems Administrator/Infrastructure Engineer in large enterprise environments Strong Windows Server, Active Directory, and Microsoft SQL experience Experience supporting Microsoft 365, Azure, and hybrid environments Solid understanding of cybersecurity, patching, and compliance frameworks Strong networking fundamentals (DNS, DHCP, VPNs, firewalls) Excellent documentation, troubleshooting, and stakeholder engagement skills ...

experience with complex query optimization Experience building ETL/ELT pipelines Proficiency with at least one cloud platform: Amazon Web Services (AWS) Microsoft Azure (Azure) Google Cloud Platform (GCP) Experience with orchestration tools (e.g., Apache Airflow) Experience with version control (e.g., Git) Solid understanding of data warehousing concepts ...

technical audiences. Ensure all activities adhere to IDA processes, raising any open issues for review and resolution. Apply agile delivery methodologies using Azure DevOps to manage user stories, tasks, dependencies, and issues. Knowledge, Skills & Experience Knowledge & Skills: Strong stakeholder relationship management skills: building trust, managing expectations, and focusing ...

tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) Ability to communicate complex analytical findings to diverse audiences Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure) Familiarity with big data technologies (Spark, Hadoop) Experience deploying models into production environments Knowledge of deep learning frameworks (TensorFlow, PyTorch) Experience working in Agile ...

languages (Bash, Python, Groovy). Familiarity with containerization (Docker) and image registries. Knowledge of infrastructure-as-code tools (Ansible, Terraform) and cloud platforms (AWS, Azure, GCP). Understanding of security best practices for DevOps and container environments. Excellent problem-solving and communication skills All profiles will be reviewed against ...

Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps ...