451 to 475 of 2,503 Remote Azure Jobs

ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and More ❯

ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and More ❯

ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and More ❯

development with React, TypeScript and Node and experience with Bash and Python. Extensive experience of Linux based infrastructure design, provisioning, and maintenance. Solid understanding of Cloud platforms (AWS, GCP, Azure) with knowledge of Kubernetes, and other DevOps tools (e.g. Docker, Kubernetes, Terraform, Helm, ArgoCD) and CI/CD (Jenkins, Artifactory, Gitlab). "Nice To Have" Skills and Experience: Building More ❯

collaboration with data scientists Improving MLOps processes Ensuring data quality and accessibility Performing data analysis for model development Documenting model development processes Working with cloud environments like AWS or Azure Integrating with various database systems Using CI/CD tools such as Jenkins or Bitbucket Security clearance is required. If not currently cleared, you must be eligible and willing More ❯

Leading code reviews, identify repeating issues, and develop mitigation strategies Creating technical documentation in line with SDLC and documentation standards Leading Continuous Integration delivery in an Agile environment using Azure DevOps/VSTS/TFS Identifying and report on Key Performance Indicators for Waterfall and Agile teams What do I need? In-depth understanding of the full Software Delivery More ❯

building and maintaining infrastructure and automation, not just analyses. Experience working in Java or TypeScript environments is beneficial. Deep experience with at least one major cloud provider (AWS, GCP, Azure) and their ML services (e.g., SageMaker, Vertex AI). Experience with Amazon Bedrock is a significant plus. Strong familiarity with containerization (Docker) and orchestration (Kubernetes). Experience with Infrastructure More ❯

programming. Continuous Integration/Continuous Delivery REST API development and/or consumption. Desirable skills/experience you may have Experience with Cloud Platforms such as AWS, GCP or Azure Docker, Kubernetes Jenkins, Gitlab CI. Additional Information: The application form consists of an online assessment, CV upload, followed by application questions. Please visit - to understand more about application and More ❯

to support a wide ranging CSR programme + 2 days volunteering leave per year Your Key Responsibilities Act as our SME for cost-efficient architecture across multiple cloud providers (Azure, GCP) SME in billing and cost optimization initiatives of infrastructure services hosted on public/private cloud and on-premise Analysis of Google Cloud Platform (GCP) billing data, usage More ❯

container and IaC scanning, SBOM management, and supply-chain security; automate enforcement through CI/CD pipelines. Cloud & Infrastructure Security - Design and implement robust controls for AWS (primary) and Azure/GCP (secondary): IAM, network segmentation, KMS, secrets management, WAF, EDR, and zero-trust patterns. Identity & Access Management (IAM) - Own enterprise IAM strategy, including RBAC, least-privilege provisioning, SSO More ❯

security, network security, and secure software development practices. Familiarity with scripting and automation tools to streamline security processes. Working with data centres and native cloud environments AWS, GCP, and Azure OS Linux, Windows, Mac Soft Skills: Excellent leadership, communication, and interpersonal skills. Ability to work under pressure and manage multiple priorities in a fast-paced environment. Strong analytical and More ❯

moving, iterative environment Ability to solv e technical and product problems collaboratively, taking initiative to improve solutions rather than simply completing tickets C urious about cloud platforms (e.g., AWS, Azure, GCP) and eager to build your knowledge, even if you're not an expert yet A fair and competitive salary evaluated against market data, annual discretionary bonus scheme, pension More ❯

It would be great if you also have: Experience of Government Digital Standard (GDS) Ways of Working and Secure by Design principles Knowledge or experience of Redhat OpenShift, Postgres, Azure and/or AWS, Flask, and/or Python Knowledge of gov.uk websites and service Behaviours We'll assess you against these behaviours during the selection process: Making Effective More ❯

designing and building AI-based solutions and/or AI platforms at scale. Familiarity with AI/ML tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, ML Flow, Data Bricks Azure/AWS/GCP AI services). Track record of delivering production-grade AI applications or integrating AI capabilities into existing platforms. Demonstrable understanding of data governance, ethical AI More ❯

to find new solutions to difficult problems It would be great if you also had experience in some of following: Cloud technology training and certification, such as AWS or Azure Experience in full-stack technical design Mentoring junior engineers and nurturing their passion for engineering How do we support you:- Work-life balance is important; you'll get More ❯

to advise on data principles, governance, patterns, and technologies, and how these shape or support architectures you design. Youll have hands-on experience with public cloud services like AWS, Azure or GCP. Additionally, you will possess a deep knowledge and focus on security and privacy, including best practices and regulatory compliance (e.g., GDPR, HIPAA) and their applications in data More ❯

and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans More ❯

you will have the opportunity to leverage and grow your engineering expertise by: Working at the intersection of infrastructure and software engineering to design and deploy cloud infrastructure using Azure & other DOD Cloud Environments Providing guidance on end-to-end architecture, working with cross functional teams, documenting design principles on messaging and interacting across components Serving as the technical More ❯

and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans More ❯

manage. Technologies the team use This is not a hands-on role but these are our core technologies so you know what your colleagues will be working with: C# Azure Cloud (DevOps, Compute, Storage, SQL PaaS etc) Git Terraform PowerShell Benefits Flexible working with support for WFH set up. NHS top up scheme (covering dental, optical, therapy & counselling, prescription More ❯

manage. Technologies the team use This is not a hands-on role but these are our core technologies so you know what your colleagues will be working with: C# Azure Cloud (DevOps, Compute, Storage, SQL PaaS etc) Git Terraform PowerShell Benefits Flexible working with support for WFH set up. If it works for you and it works for your More ❯

drive sustained business results. Proficiency in the Python data science tech stack (pandas, scikit-learn, NumPy, and visualisation libraries) Experience working in a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication, stakeholder management, and problem-solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications More ❯

solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML More ❯

solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML More ❯

solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML More ❯