1 to 25 of 62 Remote/Hybrid Azure Jobs in Edinburgh

custom workflow activities, PCF (Power Apps Component Framework) controls, JavaScript/web resources, and client-side scriptingStrong integration architecture experience using Dataverse Web API, Azure Service Bus, Azure Logic Apps, Azure API Management (APIM), Azure Integration Services, and/or third-party middleware platforms (e.g. MuleSoft … Dynamics 365 Customer Service Functional ConsultantPL-200: Microsoft Power Platform Functional ConsultantPL-600: Microsoft Power Platform Solution Architect Expert (particularly desirable)AZ-900: Microsoft Azure Fundamentals (minimum expectation; AZ-204 or AZ-305 advantageous)Technology Programme DeliveryStrong understanding and experience of end-to-end programme delivery using both Agile ...

improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux/ ...

automated test scripts using modern testing frameworks (e.g. Selenium, WebdriverIO, Cypress )Integrate automated tests within CI/CD pipelines for continuous validation, experience with Azure Devops will be a great bonus.Familiarity with performance, load and stress testing tools like JMeterAdditional InformationWhy Version 1 At Version 1, we believe ...

ground developers both internally and with the clients.Support UAT by preparing test scenarios, coordinating with stakeholders, and validating solutions using tools like Azure DevOps, Jira, and test management tools.End-to-end project involvement from leading workshops through to design and delivery phases.QualificationsBusiness Analysis experience within a Consultancy or Public ...

with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation ...

among others).Certification or demonstrated knowledge of one of the major Cloud Service Providers – Google Cloud Platform (GCP), Amazon Web Services (AWS) or Microsoft Azure Platform.Awareness, appreciation and experience in leveraging emerging technologies (e.g. GenAI, Blockchain) and their application to the Wealth Management industry;Industry certifications such ...

delivery.The Desirables:Certification or demonstrated knowledge of one of the major Cloud Service Providers – Google Cloud Platform (GCP), Amazon Web Services (AWS) or Microsoft Azure Platform or equivalent.Proven adaptability and ability to shift focus and work with varied subject matters and work across different projects and project types.Experience ...

evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

/CD, model versioning, monitoring, automated testing, retraining and performance optimisation. Experience using cloud platforms and cloud-native AI/ML services, such as Azure, AWS or GCP, to build and deploy scalable solutions. Strong communication and collaboration skills, with the ability to explain technical concepts to both engineering ...

evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices ...

practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex ...

MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.Experience deploying AI solutions on cloud platforms such as Azure, AWS or GCP, using cloud-native services for scalability and resilience.Strong stakeholder management, communication and problem-solving skills, with the ability to explain technical ...

solutions drive success, and deliver value for clients, in a business context. As well as experience in other areas of the Microsoft ecosystem including Azure, Power Platform, M365, and Active Directory.Leading formal workshops with clients to gather requirements, displaying knowledge of the business environment in defining the customer ...

CISSP, certifications from Microsoft, ISC2, ISACA, SANS, GIAC, EC-Council etc. or equivalent).Exposure to/Understanding of DevOps tools and repositories (e.g. Git, Azure Dev Ops, Kubernetes, Docker, Jenkins, Ansible etc.).Role based access control (RBAC) design.Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation ...

within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

protections.Drive continuous improvement of product security posture by identifying gaps and implementing solutions.Technical SkillsStrong knowledge of Cloud and Container security, including orchestration (e.g. AWS, Azure, Google Cloud, Docker, Kubernetes)Vulnerability Management lifecycle experience, specifically for cloud infrastructure and container images.Strong understanding of Key Management and IAM controls.Proven experience ...

work independently and manage multiple priorities in a challenging environmentDesirable Skills:Experience in a professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data ...

backlog management, user story refinement, and acceptance criteria definitionTrack record of improving team velocity and delivery predictabilityExperience with Agile tools and reporting (Jira, Confluence, Azure DevOpsTechnical RequirementsUnderstanding of AWS core services and cloud architecture patternsExperience managing business/technical requirements and producing roadmapsCommunication & Leadership SkillsExcellent facilitation and conflict resolution ...

outcomes and take clear ownership of the security design decisions that got there.Cloud and application security; experience securing workloads on AWS and/or Azure, including network segmentation, IAM, encryption, secrets management, and security monitoring. You understand AppSec practices including secure SDLC, SAST/DAST tooling, API security ...

design documents, mapping specifications, test evidence, deployment instructions and support handover material. • Experience integrating Oracle Fusion with enterprise platforms such as ServiceNow, SAP, Workday, Azure-hosted services, legacy applications or third-party SaaS systems. • Proven ability to operate in a client-facing technical lead role within structured delivery programmes. ...

solutions. Tech environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure. What we're looking for Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable ...

within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

with Postman for API testing. CI/CD & DevOps: Proficiency with Git and experience integrating automated quality gates into CI/CD pipelines (e.g., Azure DevOps, Jenkins, or GitHub Actions). Relationship & Communication Skills: The ability to balance speed, quality, and risk while building trusted partnerships and managing client ...