Jobs at Zaizi

Lead the research, development, testing, deployment, and maintenance of complex machine learning and generative AI models. Design MLOps pipelines for CI/CD, monitoring, retraining, and production operations. Solve complex technical problems, evaluate emerging AI technologies, deliver high-risk prototypes, integrate models with existing systems, and ensure model safety, security, performance, and reliability. Mentor junior team members and provide specialist generative AI expertise for public sector and national security projects.

Lead engineering strategy, technical standards, assurance, and AI engineering capability across government digital services. Build and develop multiple engineering teams, establish secure cloud and DevSecOps practices, advise senior government clients, and ensure alignment with GDS, NCSC, accessibility, privacy, and data protection requirements. Shape technical propositions, bids, estimates, and reusable capabilities while balancing quality, user outcomes, delivery constraints, people development, and commercial performance.

Provide 1st-, 2nd-, and some 3rd-line IT support, manage Microsoft 365 and Azure user access, administer security controls, monitor alerts, maintain endpoint compliance, support patching and audits, train users, and troubleshoot hardware and local networks onsite.

Mature research-grade AI/ML models into production-ready software, harden model code, integrate models into systems, optimise for edge/Android deployments, and mentor team members while ensuring solutions meet national security standards.

Designs and oversees user-centered experiences, prototypes, workshops, and other design artefacts for government client projects. The role involves researching user needs, defining end-to-end journeys, synthesizing insights, advocating for users, ensuring accessible design, and collaborating with product managers, architects, developers, testers, clients, and stakeholders. The designer also mentors other UX professionals and establishes design approaches across agile projects.

Research and evaluate machine learning models, build applied AI proofs-of-concept (including generative and adversarial approaches), translate domain problems into ML solutions, prototype and deploy models, and share learnings within a small team supporting UK government projects.

Seeking DV cleared professionals for projects in Central Government, including software engineering, development, and DevOps roles.

Plan, lead and deliver qualitative and quantitative user research across end-to-end services in an agile delivery environment. Synthesize findings into actionable insights, influence product and service design, design and facilitate workshops, build stakeholder relationships, and mentor other researchers while ensuring inclusive, ethical, and accessible research practice.

As a Lead Machine Learning Engineer, you will design and deploy complex ML models, manage MLOps pipelines, mentor junior engineers, and solve advanced technical challenges.

The Solution Architect will lead design and delivery of digital services for the UK Public sector, engage with stakeholders, and ensure best practices in technology.