776 to 800 of 2,866 Azure Jobs in the UK excluding London

multiple services. Full-stack or backend technical background with experience in Python and TypeScript (or similar). Cloud infrastructure experience with AWS or Azure and IaC with Terraform. Experience delivering UK Government digital services, with a strong understanding of the GDS/NHS Service Standard and assessment process. Strong ...

system design principles, scalable architecture patterns and API designs Experience with both relational and NoSQL databases (Postgres, MySQL, DynamoDB) Proficiency in cloud platforms (AWS, Azure or GCP) Familiarity with CI/CD pipelines and automated testing frameworks Strong understanding of investment products, and trading workflows Special Factors Our client ...

architectural patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

valued skills may include: Experience supporting or mentoring colleagues within machine learning engineering or software development teams Experience with cloud platforms such as AWS, Azure, or GCP, or ML platforms such as Databricks Exposure to evaluating LLM-based applications, including AI-as-a-judge approaches Experience with Generative ...

learn new technologies quickly. Undergraduate degree in Software Engineering, Computer Science, or a related field. Preferred Qualifications Familiarity with GIS connectors. Familiarity with Azure DevOps, GitLab, and Git-based workflows. Experience with CI/CD pipeline automation and deployment scripting. Experience with automated testing, including unit, integration, and regression ...

relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/ ...

relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/ ...

/Python/Typescript or React You have recent experience building, deploying, and running cloud-native applications on top of AWS and/or Azure You have strong practical experience of defining strategies, building and delivering products & services using Agentic AI optionally including professional level certificationYou're used ...

Waterfall delivery methodologies. DesirableExposure to enterprise-level IT transformation programmes. Professional certification in resource management or project management. Experience of using tools such as Azure Devops, MS Office Suite, and PowerBIExperience supporting or leading tool evaluations for portfolio or resource management platforms. InclusionFreshfields is an equal opportunities employer ...

thinker, with an analytical and creative mindset. Experience building AI-enabled data architectureCommercial experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant certifications. Competency around AI/Agentic AIA background working in software development, data engineering or data science, with a desire ...

relevant client opportunities and solutions. Experience building AI-enabled data architectureIn-depth experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant professional level certifications. Competency and practical implementation experience with AI/Agentic solutionsA background working in software development, data engineering or data ...

Framework APIs/web services Plugins (Dynamics) JavaScript HTML Dynamics 365, Dataverse Workflow Assemblies PCF Controls Fetch XML Web Resources Power Apps, Power Automate Azure Functions, Logic Apps Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting ...

deliver cutting-edge business solutions, working end-to-end from senior stakeholders to delivery teams. Access the latest training and certifications, including AWS, Azure, and GCP, alongside our extensive internal learning and mentoring programmes. Work in an environment that lives its values every day – Values - Values | PA ConsultingContribute ...

Development, Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction ...

technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs ...

full stack application development. Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.).Hands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular. Strong understanding ...

design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices ...

tool or technique in days, not months. You will have an advantage if you also have: Security best practice (OWASP top ten)Azure SQL ServerDevOps, Pipelines, TeamCity, GitHubWindows servicesExperience using AI tooling specifically in the architect role - for design review, ADR drafting, threat modelling, contract design, or similar. Familiarity ...

Experience managing external suppliers from contracts to technical execution. Experience interacting with external clients in various pre/post-sales situation. Experience with Azure, Cloud and SaaS technologies. Appreciation of current and emerging technologies along with their potential benefits and limitations. Prior hands-on technical experience of desktop ...

large-scale data workflows using orchestration platforms such as Airflow, while driving technical execution across complex initiatives. Use expertise in cloud computing (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring adherence to guidelines, monitoring SLAs, and enhancing AI solutions’ performance and reliability Translate complex ...

debugging tools, including debuggers, performance profilers and memory profilers. Experience with source control systems and continuous integration/continuous development i.e. git and Azure DevOps. Background in one or both of: Linear algebra Lagrangian analysis Problem solving – able to break down difficult technical and mathematical problems and develop practical ...

cloud-native platforms. Enterprise integration, identity and access management, data architecture and customer data platforms. Cloud platforms and technology modernisation approaches across AWS, Azure or equivalent providers. Artificial intelligence and automation technologies, including emerging AI-enabled engagement, workflow and personalisation capabilities. Technology governance, architecture review processes, risk management ...

file or S3-compatible object storage platformsCloud & Competitive Skills: Experience in any of the following, would be a real plus, including: Familiarity with AWS, Azure, and GCP storage services and integration patterns. Understanding of hybrid and multi-cloud data architectures. Knowledge of modern AI and analytics platforms and their ...

solution will be delivered, and flag any gaps or out-of-scope requirements before delivery begins. Implement and deploy secure, resilient, well-documented Microsoft Azure infrastructure and hybrid identity solutions, including landing zones, virtual machines, storage, networking, hybrid connectivity, Entra ID, and Azure Monitor, aligned to the Azure … migration tooling, execution, cutover, and decommission. Working knowledge of backup, replication, and disaster recovery tooling, including RTO and RPO design. Working knowledge of Microsoft Azure IaaS and hybrid cloud, including landing zones, virtual machines, storage, networking, hybrid connectivity, and Azure Monitor. Working knowledge of Azure identity ...

. Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker … Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools ...