126 to 150 of 368 Permanent Cloud Computing Jobs

for the Senior Manager/Specialist during periods of absence. Knowledge, Skills and Experience (Essential) Microsoft Power Platform, data modelling, business processes, data integration, cloud computing, Microsoft Office Suite, databases, SQL, security, and compliance. Platform projects, Power Apps development, Power Automate development, Power BI, training and support, business … must meet the security requirements before they can be appointed. The level of security needed is a security check. Knowledge, Skills and Experience (Desirable) Cloud technology qualifications (AWS/Azure preferably) Well-developed core consulting skills e.g. research, analysis, presentation, and attention to detail. Chartered Membership within a related more »

hires could be for a team lead for the right person) Experience in financial modeling (pricing/risk) Fixed income product knowledge Kubernetes exposure Cloud computing (ideally AWS) expertise Why Join? Exceptional comp, benefits and bonus potential Hybrid working and amazing central London office Learn from and collaborate more »

teams to achieve ambitious goals and drive results. Expertise in software development methodologies, tools, and technologies, including but not limited to Python, R, SQL, cloud computing platforms (AWS, Azure), and big data technologies. Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all more »

progress without requiring intensive supervision. Advantageous to have Knowledge of modern software development practices such as Agile, DevOps, and CI/CD. Experience with cloud computing infrastructure, AWS in particular. Previous experience with Stripe integration. Knowledge of version control concepts and experience working with Git repositories. What we more »

initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would more »

science, software engineering, or a related field - or equivalent experience in industry Knowledge of AI technology including Generative AI and Machine Learning. Proficient in cloud computing technologies such as Microsoft Azure. Full Stack Software Development Advanced knowledge of C# and dotnet. JavaScript and related client-side frameworks (e.g. more »

class AWS Architect for a 6 month engagement to help migrate and roadmap optimisation potential across all of the existing estates. Strong understanding of cloud computing concepts and principles, including Infrastructure as Code, DevOps, and serverless computing Experience with AWS services such as EC2, S3, RDS, Lambda more »

of software development principles. Experience applying Machine Learning techniques to infrastructure development, such as optimising data pipelines and building robust systems. Strong familiarity with cloud computing platforms and distributed computing frameworks. Passion for technology and a desire to make an impact in the finance industry, even without more »

Technical knowledge: Full Stack Development experience (Java/Kotlin) Mobile Development understanding (Swift/Kotlin) Strong OOP/Data Structure/Design Patterns understanding Cloud computing knowledge Understanding of cloud observability concepts (logging, monitoring, alerting etc.) This role is hybrid, with the office based in London. The more »

join a multinational IT business that specialise in providing a broad spectrum of IT services and solutions, from IT consulting and system integrations to cloud services and e-commerce solutions. The successful Modern Workplace Engineer will be responsible for planning, designing, migrating, and securing Microsoft Cloud solutions for … London occasionally (frequency is dependent on the project) Requirements of the Modern Workplace Engineer: Demonstrated expertise in architecting and deploying client solutions within Microsoft Cloud Security and Modern Workplace. Strong proficiency in Microsoft cloud services, particularly Azure and Microsoft 365. Extensive knowledge of EMS technologies such as Microsoft … with mobile device and application management, as well as identity and access management principles. Solid grasp of information protection and data security, including Azure Cloud Security. Experience with security assessment methodologies and automation scripting using PowerShell, Azure CLI, or similar tools. Proficiency in utilising monitoring and logging tools like more »

Prestigious opportunity with a UK Market Leader for an End User Computing Engineer to join our Digital Transformation. Following a period of significant growth, now the perfect time to join our success story! As our End User Computing Engineer you will be responsible for;- Managing and maintaining the … 3rd Level support Part of the team to manage all elements of the infrastructure within the UK, this includes but is not limited to Cloud, Server, Applications, Integrations, network, communications, and security. Project work as well as BAU This role is office based however travel to and from profit … experience supporting Citrix and Windows Desktop environments Remote access, VPNs, Windows Server (AD \ GPO \ PowerShell) Windows servers, including Hyper-V and VMWare Familiar with Cloud computing platforms (Azure, AWS) Imaging including MDT and MCS Windows driver management Printers and print management ITIL knowledge including change, problem, and incident more »

Elevate your career as a Cloud Security Architect with a leading-edge boutique cyber security consultancy. This esteemed firm is seeking a proficient individual to shape the future of cloud security, with a special emphasis on Azure Sentinel. Embark on a journey that promises professional growth and the … chance to make a tangible impact in safeguarding digital landscapes. As a Cloud Security Architect, you will be at the forefront of designing and implementing robust security frameworks within Azure environments. Your role will be pivotal in deploying Azure Sentinel solutions, ensuring the highest level of security for clients … collaborate with cross-functional teams to deliver bespoke security strategies that align with client needs and industry best practices. Skills & Experience: - Demonstrable experience in cloud security architecture, with a focus on Azure Sentinel - Proficient in developing and managing security solutions within Azure - A solid understanding of cloud computing more »

in Microsoft Azure, you will play a pivotal role in designing and implementing advanced analytics and AI solutions that leverage the capabilities of Azure cloud services. You will collaborate closely with cross-functional teams including data scientists, software engineers, and business stakeholders to architect robust, scalable, and efficient solutions … stakeholders to gather requirements, define technical specifications, and translate business needs into technical solutions. Evaluate emerging technologies and industry trends in analytics, AI, and cloud computing, and make recommendations for their adoption to enhance our solution offerings. Conduct performance optimisation, scalability assessments, and security reviews for existing and … frameworks, with hands-on experience in developing and deploying NLP models for text analytics applications. Solid understanding of software architecture principles, microservices architecture, and cloud-native design patterns. Proven track record of successfully delivering complex analytics and AI projects from conception to deployment Excellent communication and interpersonal skills, with more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »

legacy data, development of new system capabilities, extension and maintenance of bulk data pipeline and enhancements for multiple mission applications in the client's cloud computing environment. Core hours shall be 9:00AM - 3:00PM Monday - Friday with schedule flexibility outside Core hours. Weekend or after-hours support … formats to fit a de-normalized row and column data model. Store, standardize, extract, reference, and validate data; develop and deploy processing pipelines to cloud analytics platforms; and develop requirements to support data analytics customers and integration partners. Develop software standards and practices documentation and support Agile development. Basic … utilization and speed. Demonstrated experience in deploying complex, notebook-based pipelines. Demonstrated experience in Python data analysis libraries such as Pandas. Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2. Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS. Demonstrated experience more »