1 to 25 of 114 Permanent Azure Jobs in Edinburgh

intelligent applications serving thousands of users.Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection.Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.Experience implementing MLOps and LLMOps ...

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 ...

Security and Network Architecture Firewalls and Perimeter Security Windows, Linux and Unix Operating Systems Database Security Active Directory and Identity & Access Management Cloud Security (Azure) Vulnerability Management Security Monitoring and SIEM Technologies Endpoint Security Infrastructure Security Controls Experience assessing control design and operating effectiveness across technology and security processes. ...

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 ...

application development, including working with datasets, statistical or analytical techniques. Knowledge of cloud platforms and services, particularly Google Cloud Platform (or equivalent AWS/Azure services), including serverless architectures. DevOps and infrastructure skills, including Docker, Kubernetes, Linux, Terraform, CI/CD pipelines, and GitHub Actions. Strong understanding and practical ...

/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 ...

TensorFlow. Strong problem‐solving skills and a curiosity for learning new technologies. Good verbal and written communication skills. Familiarity with cloud platforms (e.g., Azure (preferable), AWS, or Google Cloud). Basic knowledge of containerization tools like Docker and orchestration platforms like Kubernetes. Interest in infrastructure‐as‐code tools like ...

skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator ...

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 ...

essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder skills matter at every level. ...

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 ...

Kafka, or Databricks.Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).Strong communication and collaboration skills with a passion for working ...

standards to ensure high-quality, maintainable code.Effective teamwork skills and experience with working with multi-functional teamBonus points:Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices.What you’ll get in return:High-impact projects: We work on a variety of core projects pioneering ...