1,551 to 1,575 of 4,596 Microsoft-Azure Jobs in England

SQL and performance tuning. Strong analytical, problem-solving, and communication skills. Experience working in BFSI or enterprise-scale environments is a plus. Preferred: Exposure to cloud platforms (AWS, Azure, GCP) and their data services. Knowledge of Big Data platforms (Hadoop, Spark, Snowflake, Databricks). Familiarity with data governance and data catalog tools. More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in More ❯

Understand data migrations and system integrations Are proactive and eager to contribute to agile ways of working Bring exposure to React and/or cloud platforms (AWS/Azure) nice to have, not essential Whats on Offer Salary of £4050K depending on experience Hybrid working with flexibility (typically 1 day per week in Manchester) Opportunity to work on More ❯

Milton Keynes (Hybrid 2 days a week in the office) If you ve got strong Full stack development experience with .Net (C#) and Typescript, solid cloud (AWS or Azure) knowledge, a passion for clean architecture, and you re comfortable jumping between languages and environments, we d love to hear from you. This role will give you the chance More ❯

Milton Keynes (Hybrid – 2 days a week in the office) If you've got strong Full stack development experience with .Net (C#) and Typescript, solid cloud (AWS or Azure) knowledge, a passion for clean architecture, and you're comfortable jumping between languages and environments, we'd love to hear from you. This role will give you the chance More ❯

strong focus on productionizing ML models and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track record of delivering ML models that More ❯

strong focus on productionizing ML models and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track record of delivering ML models that More ❯

functions and exception processing. Experience with designing and developing workflows, provisioning processes, and connectors in One Identity Manager. Have integrated One Identity Manager with various systems (Active Directory, Azure AD, SAP, etc). Performed upgrades, patches, and performance tuning of the One Identity Manager platform. Troubleshoot and resolve issues related to identity provisioning and de-provisioning. Collaborate with More ❯

Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working More ❯

Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working More ❯

Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working More ❯

approaches Preparing business cases for adopting new technology What we are looking for Background in designing complex cloud and on premise solutions Strong knowledge of AWS and or Azure, Infrastructure as Code and microservices Familiarity with TOGAF, SOLID and DRY principles Useful extras: SQL Server, CI/CD, GitHub, Agile methods, Terraform, Docker, DevOps, Cloud AI Comfortable working More ❯

approaches Preparing business cases for adopting new technology What we are looking for Background in designing complex cloud and on premise solutions Strong knowledge of AWS and or Azure, Infrastructure as Code and microservices Familiarity with TOGAF, SOLID and DRY principles Useful extras: SQL Server, CI/CD, GitHub, Agile methods, Terraform, Docker, DevOps, Cloud AI Comfortable working More ❯

with data modelling and designing scalable, business-ready solutions. Collaborative mindset with a passion for learning and improving processes. Desirable Extras Experience with cloud platforms such as AWS, Azure, or GCP . Knowledge of Git and CI/CD pipelines in data workflows. Exposure to Python or a similar programming language. More ❯

Experience required: - Proven experience customizing general ledger modules, journals, and posting processes, including financial dimensions and intercompany transactions. - Strong knowledge of D365 tools like Visual Studio, LCS, and Azure DevOps for CI/CD, along with unit testing frameworks (eg, SysTest) and debugging. - Familiarity with financial data handling, error management, batch processing, and integration patterns (eg, DMF, OData More ❯

science, ML engineering, or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge of MLOps practices (MLflow, Docker, Kubernetes, etc.). Demonstrated experience in building Data-as-a-Service (DaaS) solutions or data APIs. Strong stakeholder engagement More ❯

in QA, test automation, or software engineering Advanced knowledge of automation frameworks, test design, and QA principles Hands-on with Java-based technologies, microservices, cloud platforms (AWS/Azure), containerisation, and DevOps practices Strong problem-solving, communication, and project management skills Experience working in self-empowered, multi-disciplinary Agile teams Ability to influence and shape technical culture across More ❯

work independently and manage priorities in a fast-paced environment. Excellent problem-solving and communication skills. Preferred: Experience with CI/CD pipelines and cloud-based deployment (AWS, Azure). Knowledge of Agile methodologies and ticketing systems (e.g., Jira). Familiarity with business processes in sales, marketing, and customer support. More ❯

programming skills Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc) Familiarity with data engineering tools (Pandas, NumPy, Spark) Knowledge of cloud platforms (AWS, GCP or Azure) and Docker/Kubernetes Solid understanding of software engineering best practices (Git, CI/CD, testing) Bonus: experience with NLP, LLMs, or computer vision projects Day to day: Design More ❯

programming skills Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc) Familiarity with data engineering tools (Pandas, NumPy, Spark) Knowledge of cloud platforms (AWS, GCP or Azure) and Docker/Kubernetes Solid understanding of software engineering best practices (Git, CI/CD, testing) Bonus: experience with NLP, LLMs, or computer vision projects Day to day: Design More ❯

programming skills Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc) Familiarity with data engineering tools (Pandas, NumPy, Spark) Knowledge of cloud platforms (AWS, GCP or Azure) and Docker/Kubernetes Solid understanding of software engineering best practices (Git, CI/CD, testing) Bonus: experience with NLP, LLMs, or computer vision projects Day to day: Design More ❯

programming skills Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc) Familiarity with data engineering tools (Pandas, NumPy, Spark) Knowledge of cloud platforms (AWS, GCP or Azure) and Docker/Kubernetes Solid understanding of software engineering best practices (Git, CI/CD, testing) Bonus: experience with NLP, LLMs, or computer vision projects Day to day: Design More ❯

programming skills Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc) Familiarity with data engineering tools (Pandas, NumPy, Spark) Knowledge of cloud platforms (AWS, GCP or Azure) and Docker/Kubernetes Solid understanding of software engineering best practices (Git, CI/CD, testing) Bonus: experience with NLP, LLMs, or computer vision projects Day to day: Design More ❯

Excellent communication and stakeholder engagement skills. Preferred Qualifications Certifications in Ping Identity and/or ForgeRock technologies. Experience with IAM integrations in financial systems and cloud platforms (e.g., Azure AD, AWS). Knowledge of scripting (e.g., PowerShell, Python) and RESTful APIs. Experience with identity lifecycle automation and governance tools. More ❯