Bedford, Bedfordshire, South East, United Kingdom Hybrid / WFH Options
Intellect UK Group Limited
collaboratively in a fast-paced environment. Good communication skills and a proactive attitude. Experience with backend development using Node.js or similar technologies. Knowledge of cloudcomputing platforms such as AWS or Azure. Familiarity with Agile development methodologies. Benefits: Competitive salary based on experience. Flexible work arrangements, including remote more »
Colchester, England, United Kingdom Hybrid / WFH Options
La Fosse
do. This role would be 70% backend in Python and 30% frontend in JS. Key Requirements: Python & Django JavaScript, HTML, CSS SQL Excellent communicator Cloudcomputing Nice to have: AWS DevOps SuiteScript/NetSuite Commerce websites experience Compensation: This role is offering up to £85,000 + bonus more »
Watford, England, United Kingdom Hybrid / WFH Options
Addition+
industries is preferred. Strong knowledge of cyber security trends, technologies, and threat landscapes. Familiarity with IT governance frameworks (CobiT, ITIL), ERP systems (SAP), and cloudcomputing (AWS). Proficiency in UNIX/Linux, SQL/DB2, Active Directory, and IT service management. Excellent communication and stakeholder management skills. more »
King's Lynn, Norfolk, East Anglia, United Kingdom Hybrid / WFH Options
Hays
20000. What you'll need to succeed Proven experience in a similar role, ideally within an ISO 20000 accredited organisation. In-depth knowledge of cloudcomputing on the Azure platform. Experience working within a SIAM Service Model. ITIL V3 and/or ITIL V4 qualifications. Strong project management more »
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
BeTechnology Group
and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring seamless deployment and operation. Optimise system performance and resource … requirements, architect solutions, and drive projects to completion. Keep up to date with emerging technologies and best practices in AI infrastructure, distributed systems, and cloud computing. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. Deep, extensive experience with Python programming and strong proficiency in more »
Cambridge, Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
Be Technology
and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring seamless deployment and operation. Optimise system performance and resource … requirements, architect solutions, and drive projects to completion. Keep up to date with emerging technologies and best practices in AI infrastructure, distributed systems, and cloud computing. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. Deep, extensive experience with Python programming and strong proficiency in more »