Leads and mentors engineering teams delivering secure, resilient solutions for UK National Security, spanning cloud-native architecture, AI and data foundations, stakeholder advice, and technical roadmaps.
Zaizi jobs
Designs, builds and sustains secure digital services for the public sector.
13 open roles at Zaizi
Enable multidisciplinary teams to deliver complex public-sector digital services, managing risks, coordinating plans and stakeholders, and making evidence-based decisions that balance user needs, value and sustainable delivery.
Automate application and infrastructure provisioning, configuration, and deployment in a highly secure, scalable environment, helping deliver software through open-source technologies as part of an Agile team.
Leads the development and deployment of complex machine learning models, manages MLOps pipelines, researches generative AI, and provides technical expertise on challenging AI problems.
Lead engineering strategy, technical assurance and capability across government digital services, developing teams and production-ready AI approaches while advising senior clients and shaping technical propositions.
Manage 1st-, 2nd- and some 3rd-line support, administer Microsoft 365 and Azure security controls, support compliance and user training, and provide hands-on technical support.
Research and evaluate machine learning models, build proofs of concept, and translate AI techniques into practical solutions for specialist public sector applications alongside a close-knit engineering and research team.
Plan and lead user research across end-to-end services, turning evidence about user needs and behaviours into actionable insights that guide product and service decisions while mentoring researchers.
Lead business analysis for national security digital transformation programmes, translating user needs into requirements and user stories while helping delivery teams prioritise work and validate outcomes.
Leads solution architecture for UK public-sector digital services, shaping designs and governance, advising senior stakeholders, and supporting multiple teams and customer projects using open-source technologies and Agile and DevOps.
Mature research-stage machine learning models into scalable, reliable production software, integrating them into broader systems and optimizing deployment for resource-constrained edge hardware, including Android devices.
Lead machine learning development from research and prototyping through production deployment, while managing MLOps pipelines, solving complex technical challenges, and mentoring junior team members.
Work on large-scale Central Government IT projects in software engineering, infrastructure, or DevOps, bringing a technical background and current UK DV security clearance.
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