1,726 to 1,750 of 5,569 Permanent Azure Jobs

or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and pipeline orchestration. Experience with version control (e.g. Git), CI/CD pipelines, and automated testing. More ❯

to clearly articulate to small and large audiences - Ability to juggle tasks and projects in a fast-paced environment PREFERRED QUALIFICATIONS - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP - Previous experience in the Automotive or Manufacturing industries 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 ❯

technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

with AI agent development and testing methodologies using Google ADK, LangGraph, Llamaindex Understanding of marketing and media workflows (content creation, campaign management, social media automation) Cloud platform experience (AWS, Azure, or Google Cloud Platform) Version control proficiency (Git) and collaborative development practices Excellent communication skills with ability to explain technical concepts to business stakeholders Problem-solving mindset with focus More ❯

broad range of tools and test automation techniques including Open-Source technologies and object-orientated design, programming languages such as C# (or Java), Python and TypeScript, PowerApps platform tools, Azure (or AWS) tool stack, test tools like Playwright, using continuous integration, deployment and release tools (Lead essential criteria) Working at senior leadership level, establishing and maintaining organisational level networks More ❯

and working to an elevated level Professional experience working with and analyzing computer hardware and software Extensive knowledge and experience working with various operating systems Strong experience with M365, Azure and other Cloud solutions Strong experience with Virtualization Strong knowledge with DR\BC concepts Experience in Networking Experience with NetApp\Pure Storage SANs Experience building AI\ML environments Knowledge More ❯

broad range of tools and test automation techniques including Open-Source technologies and object-orientated design, programming languages such as C# (or Java), Python and TypeScript, PowerApps platform tools, Azure (or AWS) tool stack, test tools like Playwright, using continuous integration, deployment and release tools (Lead essential criteria) Working at senior leadership level, establishing and maintaining organisational level networks More ❯

broad range of tools and test automation techniques including Open-Source technologies and object-orientated design, programming languages such as C# (or Java), Python and TypeScript, PowerApps platform tools, Azure (or AWS) tool stack, test tools like Playwright, using continuous integration, deployment and release tools (Lead essential criteria) Working at senior leadership level, establishing and maintaining organisational level networks More ❯

industry best practices and security frameworks (e.g., NIST, ISO 27001, CIS). Develop and maintain secure architectural patterns and standards, with a solid working knowledge of cloud security (AWS, Azure, GCP). Apply risk-based and threat-based approaches to evaluate and recommend appropriate and proportionate security technologies and solutions (e.g., SIEM, IAM, CASB, container security). Outline key More ❯

level). Willingness to travel to client sites. Desirable Skills Strong knowledge of technologies used to deliver end-to-end cloud solutions. Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Proven experience designing complex systems in secure or regulated environments. Familiar with a range of cloud programming and management tools. Experienced at delivering hybrid cloud solutions More ❯

tests in Python. Knowledge of AWS or similar cloud providers. Understanding Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with Azure Pipelines, AWS CDK is desirable, but not essential Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to More ❯

Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub Actions More ❯

the ability to guide and develop engineering teams Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of More ❯

and strategy, while learning from experienced team members. We are looking for experience in the following skills: Commercial experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant certifications. A background working in development, engineering or technical business analysis, with a desire to transition into the world of Architecture. Knowledge across key principles including More ❯

working together to solve problems, deliver outcomes, and building and operating highly available, scale and performant consumer-facing solutions Experience of building and designing cost optimised Cloud platforms (preferably Azure) from the ground up, following well architected principles Solid understanding of platform and reliability engineering approaches (SRE), including observability, performance optimisation, capturing analytics and security best practices Experience implementing More ❯

to build your professional expertise within Architecture. Qualification We are looking for experience in the following skills: Commercial experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant certifications. A background working in development, engineering or technical business analysis, with a desire to transition into the world of Architecture. Knowledge across key principles including More ❯

with auditors, pentesters and security vendors; able to explain infrastructure decisions in security terms. •Familiarity with compliance standards (SOC 2, ISO 27001, etc) and cloud security postures in AWS, Azure or GCP would be preferable but not essential. Salary & Benefits •Competitive salary and equity grants •Employer pension contributions; oUK roles include enhanced employer pension contributions oUS roles include More ❯

such as Agile, Hybrid, Waterfall (PRINCE2, SAFe etc) with the ability to tailor approaches to suit delivery needs. Experienced in using project and programme management tools (e.g. MS Project, Azure DevOps) to track delivery, plan resources and manage budgets Relevant professional certifications such as APM, PMP, PRINCE2, MSP, AgilePM, SAFe Excellent analytical and reporting skills, with the ability to More ❯

via Helm Charts. Experience with configuration management tools and a deep understanding of IaC tools (e.g., Ansible, Puppet, Terraform). First-line support experience for scalable cloud applications (AWS, Azure, GCP). Proficient Linux/Unix system administration skills. Experience in setting up and maintaining monitoring systems (e.g., Prometheus, Victoria Metrics, Grafana). Experience in Incident Management within production More ❯

the ability to guide and develop engineering teams Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of More ❯

of microservices architecture. • Extensive experience with modern databases like PostgreSQL, MySQL, and MongoDB, ensuring data is fast, reliable, and secure. • Comfortable in the cloud - experienced with platforms like AWS, Azure, or GCP - and familiar with containerization tools like Docker. • A natural problem solver with sharp prioritization skills, balancing speed with technical excellence. • Inspiring leader and communicator, driven to mentor More ❯

of microservices architecture. • Extensive experience with modern databases like PostgreSQL, MySQL, and MongoDB, ensuring data is fast, reliable, and secure. • Comfortable in the cloud - experienced with platforms like AWS, Azure, or GCP - and familiar with containerization tools like Docker. • A natural problem solver with sharp prioritization skills, balancing speed with technical excellence. • Inspiring leader and communicator, driven to mentor More ❯