This role involves designing, building, and maintaining scalable data processing systems and pipelines for CrowdStrike's Intelligence team. You will work closely with analysts and researchers to gather requirements, develop solutions, and ensure smooth operations in a fast-paced, distributed environment.
This role involves leading a team of engineers to build and maintain core infrastructure platforms at a large-scale cybersecurity company. The focus is on self-service infrastructure-as-code, cloud cost optimization, and enforcing deployment standards across a multi-cloud environment. The manager will also drive technical strategy, mentor senior engineers, and integrate AI-driven improvements into workflows.
This role involves working as a technical advisor to help customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform. The Solutions Architect will lead workshops, build reference architectures, and act as a trusted advisor during technical sales engagements. They will collaborate with account executives and customers to solve complex data challenges and drive platform adoption.
This role involves leading the design and implementation of production-grade data and AI systems for enterprise customers using the Databricks platform. The Senior Architect will work hands-on to build end-to-end solutions, integrate ML/AI models, and deliver scalable architectures while collaborating closely with technical and executive stakeholders. The position emphasizes customer immersion, reusable asset development, and influencing product direction through real-world feedback.
This role involves building and optimizing CI/CD pipelines for automated network changes, championing GitOps principles, and integrating automation across enterprise platforms like NDFC, NetBox, ServiceNow, and Red Hat Ansible. The position requires deep expertise in Cisco technologies, Python, and CI/CD workflows.
Design and build scalable AI platforms and data pipelines, productionising machine learning and NLP models into cloud-native services. Collaborate with data scientists and engineers to deliver intelligent, real-world products using modern MLOps practices. Mentor junior engineers and influence technical standards in a collaborative, innovation-driven environment.
A Senior Security Engineer will design and enhance a GenAI prompt security platform to defend AI and LLM-based applications against adversarial threats like prompt injection. The role involves building automated security testing frameworks, ensuring scalable protection across enterprise use cases, and collaborating with engineering and operations teams across time zones to integrate security into AI systems.
This role involves designing and building scalable data pipelines on Azure and Databricks, with a focus on Delta Lake and Medallion architecture. The engineer will own data models across multiple layers, implement CI/CD via Azure DevOps, and support integration with Microsoft Fabric and OneLake. It's a hands-on position emphasizing ownership and technical leadership within a growing data team.
Role: Research Infrastructure Engineering LeadLocation: Birmingham (Hybrid)Salary: £58,000 – £67,000Contract: Fixed Term until March 2031Network IT are working with a leading research-intensive organisation to recruit a Research Infrastructure Engineering Lead. This is a rare opportunity to take on a senior...
The role involves designing and implementing end-to-end AI/ML solutions, building scalable generative AI and agentic AI solutions, and implementing MLOps frameworks. You will collaborate with stakeholders to deliver robust, scalable, and responsible AI solutions for high-profile clients.
This role involves building and maintaining the infrastructure that supports AI deployment, focusing on data pipelines, system integrations, and production-grade reliability. The engineer will take AI prototypes from concept to scalable, robust systems integrated with CRMs, ERPs, and SaaS platforms. Emphasis is on automation, data integrity, and seamless communication between AI agents and enterprise systems.
This role involves building and optimizing CI/CD pipelines for automated network changes, championing GitOps principles, and integrating automation across enterprise platforms like NDFC, NetBox, ServiceNow, and Red Hat Ansible. The position requires deep expertise in Cisco technologies, Python, and CI/CD workflows.
Lead and manage a core engineering team building a Kubernetes-native platform for AI workloads at scale. Drive technical vision and execution for the control plane, cluster autoscaling, and platform integrations while maintaining hands-on coding responsibilities. Work closely with product and engineering leadership to deliver high-efficiency infrastructure for GPU-intensive AI systems.
This role involves analyzing cloud resource consumption, forecasting demand, and managing capacity expansion across data centers. The candidate will coordinate cross-functionally with engineering, procurement, and operations teams to ensure timely deployment of compute and storage infrastructure. It is a data-driven position focused on identifying capacity risks and translating forecasts into actionable hardware scaling plans.
Design and develop conceptual, logical, and physical data models for enterprise data platforms in a modern cloud environment. Apply dimensional modelling techniques like Kimball or Data Vault, collaborate with data engineers and analysts, and help shape data architecture standards across projects. Work with tools including Microsoft Fabric, Databricks, and Sparx Enterprise Architect.
