601 to 625 of 1,754 Azure Jobs in the South East

. Experience in banking or financial services is added advantage. Hands-on experience with ForgeRock Access Management Platform for atleast AM and DS components. Familiarity with cloud IAM architectures (Azure, AWS) and hybrid deployments. Excellent communication and stakeholder engagement skills. Preferred Certifications: ForgeRock Certified Access Management Specialist CISSP, CISM, or other relevant security certifications More ❯

maintainable code using JavaScript and modern front-end frameworks (e.g., React), while leveraging broader language experience (Java, Python) to support full-stack collaboration. Collaborate with cloud infrastructure teams (AWS, Azure, or GCP) to support performance optimization, environment configuration, and scalable feature delivery in cloud-native applications. Establish and maintain CI/CD practices (e.g., GitHub Actions, Jenkins), contributing to More ❯

. Experience in banking or financial services is added advantage. Hands-on experience with ForgeRock Access Management Platform for atleast AM and DS components. Familiarity with cloud IAM architectures (Azure, AWS) and hybrid deployments. Excellent communication and stakeholder engagement skills. Preferred Certifications: ForgeRock Certified Access Management Specialist CISSP, CISM, or other relevant security certifications More ❯

. Experience in banking or financial services is added advantage. Hands-on experience with ForgeRock Access Management Platform for atleast AM and DS components. Familiarity with cloud IAM architectures (Azure, AWS) and hybrid deployments. Excellent communication and stakeholder engagement skills. Preferred Certifications: ForgeRock Certified Access Management Specialist CISSP, CISM, or other relevant security certifications More ❯

maintainable code using JavaScript and modern front-end frameworks (e.g., React), while leveraging broader language experience (Java, Python) to support full-stack collaboration. Collaborate with cloud infrastructure teams (AWS, Azure, or GCP) to support performance optimization, environment configuration, and scalable feature delivery in cloud-native applications. Establish and maintain CI/CD practices (e.g., GitHub Actions, Jenkins), contributing to More ❯

development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated testing, and peer code reviews More ❯

maintainable code using JavaScript and modern front-end frameworks (e.g., React), while leveraging broader language experience (Java, Python) to support full-stack collaboration. Collaborate with cloud infrastructure teams (AWS, Azure, or GCP) to support performance optimization, environment configuration, and scalable feature delivery in cloud-native applications. Establish and maintain CI/CD practices (e.g., GitHub Actions, Jenkins), contributing to More ❯

devices, and servers across both cloud and on-premises environments. It includes device enrolment, policy enforcement, and 3rd line technical support for complex issues. Leveraging tools such as MECM, Azure, Intune, Workspace ONE, and DevOps, the service standardises operating system builds, ensures hardware compatibility, and manages configuration settings across client and server platforms. Regular compliance assessments align environments with More ❯

development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated testing, and peer code reviews More ❯

development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated testing, and peer code reviews More ❯

models in a commercial or scientific environment.* Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets.* Excellent More ❯

Advanced degree (MS/PhD) in Computer Science , AI , or a related field. Publications in top-tier conferences as the main author . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools. Core Competencies Strong problem-solving and analytical skills focused on enhancing model performance. Excellent communication and collaboration abilities to work effectively within cross-functional teams. High More ❯

Advanced degree (MS/PhD) in Computer Science , AI , or a related field. Publications in top-tier conferences as the main author . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools. Core Competencies Strong problem-solving and analytical skills focused on enhancing model performance. Excellent communication and collaboration abilities to work effectively within cross-functional teams. High More ❯

automated, and high-performing data solutions end to end. What We’re Looking For Strong experience with Python, Databricks and tools like Airflow Confident working across Cloud Platforms (AWS, Azure, GCP) Great communication skills and the ability to work with both technical and non-technical teams Comfortable in a consultancy setting, balancing hands-on delivery with client engagement What More ❯

a bug or issue tracking system, and debuggers Experience of developing complex software applications Experience developing control systems Python Distributed systems Database interaction/SQL queries Cloud infrastructure (e.g. Azure/AWS) Our client is offering a hybrid working arrangement with 3 days in their offices and 2 days from home. There is flexible start and finish times so More ❯

solving skills • Excellent communication and stakeholder management abilities • Familiarity with Agile/Scrum methodologies • Experience with tools that we use, such as JIRA, Slack, My SQL, MIRO, Embeddable, Tevor.io, Azure Pipeline, GCP, image management software, video streaming. • Understanding of software development lifecycle and technical concepts (APIs, Array’s, databases, etc.) Nice to Have: • Startup experience or entrepreneurial mindset • Knowledge More ❯

environments. Design and implement secure network architectures to meet the evolving needs of a hybrid cloud environment. Cloud Networking Expertise Architect and manage cloud-based network solutions (e.g., AWS, Azure, GCP) to support a range of applications and workloads. Ensure high availability and performance of network services in cloud environments, leveraging virtual network functions, VPNs, and direct connections. Design More ❯

development, testing, documentation, deployment) SQL (advanced query optimisation and debugging) Experience with data integration and orchestration tools (Airflow, Dagster, Prefect, or similar). Familiarity with cloud data platforms (AWS, Azure, or GCP). Contract: Initial 6-month contract Hybrid - 1 day per week on-site in London Competitive day rate (Outside IR35) Robert Half Ltd acts as an employment More ❯

. Build and maintain secure AI architectures for complex models and pipelines. Oversee ethical AI governance, driving policy alignment and responsible AI adoption. Advise clients on secure cloud AI (Azure, AWS, GCP) and DevSecOps best practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. More ❯

. Build and maintain secure AI architectures for complex models and pipelines. Oversee ethical AI governance, driving policy alignment and responsible AI adoption. Advise clients on secure cloud AI (Azure, AWS, GCP) and DevSecOps best practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. More ❯

. Build and maintain secure AI architectures for complex models and pipelines. Oversee ethical AI governance, driving policy alignment and responsible AI adoption. Advise clients on secure cloud AI (Azure, AWS, GCP) and DevSecOps best practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. More ❯

neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms Recognized as an AIFinTech100 Company, 2022 by InsurTech Winner of Best More ❯