801 to 825 of 2,940 Azure Jobs in England

healthcare regulatory and compliance frameworks Experience with deep learning, reinforcement learning, or federated learning approaches Experience with cloud platforms such as AWS, GCP, or Azure Knowledge of explainable AI, bias mitigation, and ethical AI practices Exposure to multimodal AI including text, image, and audio based models Experience contributing ...

Collaborate across teams and support continuous improvement What we need from you Essential: Strong engineering experience in complex enterprise environments Hands-on knowledge of Azure, APIM, MS Dynamics, Snowflake/DataBricks, SQL or similar CI/CD and automation mindset (Terraform (OpenTofu)/Crossplane desirable) Experience of DevOps ...

qualities and ability to motivate team members. Proficient in project management and/or Professional Services Automation (PSA) software tools (e.g., MS Project, JIRA, Azure DevOps, Certinia PS Cloud). Ability to work effectively under pressure and meet tight deadlines. Strong problem-solving skills and analytical thinking. Client-oriented ...

qualities and ability to motivate team members. Proficient in project management and/or Professional Services Automation (PSA) software tools (e.g., MS Project, JIRA, Azure DevOps, Certinia PS Cloud). Ability to work effectively under pressure and meet tight deadlines. Strong problem-solving skills and analytical thinking. Client-oriented ...

Good grounding in core networking and security concepts (TCP/IP, firewalls, IDS/IPS). Practical knowledge of Windows, Linux and cloud environments (Azure, AWS or GCP). Strong written and verbal communication skills, especially for technical reporting. Ability to work independently and collaboratively in a dynamic environment. ...

delivering architecture across large-scale or complex transformation initiatives Expertise across relevant domains, particularly application, integration, and platform architecture Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern approaches (APIs, microservices, DevOps) Skilled in navigating delivery environments (Agile, hybrid, regulated change) Familiarity with architectural modelling tools ...

delivering architecture across large-scale or complex transformation initiatives Expertise across relevant domains, particularly application, integration, and platform architecture Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern approaches (APIs, microservices, DevOps) Skilled in navigating delivery environments (Agile, hybrid, regulated change) Familiarity with architectural modelling tools ...

Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best practices in data science. Youll measure success through model accuracy, quality of insights ...

automation and administration. Excellent troubleshooting and performance analysis skills. Ability to manage multiple priorities in a fast-paced environment. Exposure to cloud platforms (Azure SQL or hybrid database solutions). Familiarity with monitoring tools such as Graylog & PRTG Strong problem-solving mindset and analytical approach. Excellent communication and documentation ...

Oracle Database technologies SQL database technologies Microfocus Cobol and C/C++ IT Business Continuity and Disaster Recovery technologies Infrastructure cloud provision within AWS, Azure and Google Person Specification Effective communication, engagement and influencing skills Ability to effectively represent YBSG through maintaining collaborative relationships Ability to work within agreed ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...

with travel to locations in Europe and occasionally to international sites. The technical expertise in Python, JavaScript, RESTful APIs, SQL, cloud infrastructure (AWS or Azure), IoT communication protocols (MQTT, Modbus, BACnet), and data visualizationtools. Responsibilities include API development, system integration, dataoptimization, and performance tuning. The candidate will collaborate with ...

guide a development team. Strong technical background in VB.NET, C#, ASP.NET, and .NET Core, with experience using GIT and version control. Familiarity with Azure Functions, Razor Views, and environments such as VM/IIS and private cloud hosting. Proven experience modernising legacy systems and implementing integrated third-party solutions. ...

security, and reliability of Guidewire integrations using best practices in cloud and DevOps. Cloud & DevOps Enablement Architect cloud-native integration solutions using AWS and Azure to support high-availability, auto-scaling, and disaster recovery strategies. Implement CI/CD pipelines to accelerate integration deployments. Use Infrastructure as Code ...

security, and reliability of Guidewire integrations using best practices in cloud and DevOps. Cloud & DevOps Enablement Architect cloud-native integration solutions using AWS and Azure to support high-availability, auto-scaling, and disaster recovery strategies. Implement CI/CD pipelines to accelerate integration deployments. Use Infrastructure as Code ...

development. Knowledge of common integration protocols (HTTP, JMS, FTP/SFTP, JDBC) and cloud connectors. Familiarity with CI/CD pipelines (e.g., Jenkins, Azure DevOps) and version control (Git). Experience with CloudHub deployments and monitoring tools. Solid understanding of security patterns (OAuth 2.0, JWT, TLS). Excellent communication ...