Zaizi

Full-stack Engineer

• Build mission-critical web applications and API backends for central MoD programmes
• Contribute to low-level system integrations on tactical edge and Situational Awareness platforms
• Design and build resilient, secure web applications, microservices, and APIs for cloud and hybrid MoD landing zones
• Develop native Android background services, IPC/AIDL interfaces, and Cursor-on-Target data routers
• Connect front-end C2 displays such as OmniTAK and ATAK to backend services
• Ensure code follows MoD Secure by Design principles and Def Stan 00-056 safety boundaries
• Automate build, test, and containerisation pipelines for air-gapped and enterprise cloud environments
• Lead technical user stories on funded MoD statements of work
• Participate in Agile delivery ceremonies
• Mentor mid-level engineers

Senior Software Engineer

Machine Learning Engineer

• Lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines
• Transition Small Language Models and knowledge graph pipelines into air-gapped, degraded, and bandwidth-constrained tactical hardware
• Deploy deterministic, explainable, human-in-the-loop decision-support tools for intelligence and operational users
• Quantize, fine-tune, and optimize open-source SLMs and vision-language models for low-power edge runtimes
• Design and maintain lightweight on-device graph databases and relationship extraction pipelines for structured and unstructured sensor data
• Implement bounding guardrails, prompt evaluation, and anti-hallucination controls
• Build reproducible model training, evaluation, and containerised deployment pipelines for air-gapped or low-bandwidth environments
• Translate complex ML/AI concepts into technical recommendations for MoD stakeholders, DSTL assessors, and Prime contractors

Senior Machine Learning Engineer

Solutions Engineer

• Lead the architecture and technical design of secure, scalable, cloud-native solutions across multiple programmes.
• Work alongside government operational client teams to understand complex business challenges and translate them into practical, user-centred technical solutions.
• Support Agile delivery teams by providing architectural leadership, promoting engineering best practices, and helping teams adopt emerging technologies where appropriate.
• Own the resolution of complex, high-risk technical challenges, balancing delivery, security, operational resilience, and long-term maintainability.
• Collaborate with technical and business stakeholders to shape solution options, present recommendations, and influence architectural decisions at senior levels.
• Mentor and support other architects and engineers, fostering a culture of collaboration, continuous learning, and technical excellence.
• Work across multiple customer engagements, ensuring consistency of architectural standards while adapting solutions to individual client needs.
• Champion modern engineering practices, including cloud-native development, automation, DevSecOps, and continuous improvement.
• Build trusted relationships across Zaizi and our customers, proactively identifying opportunities to improve digital services and deliver greater value.

Solution Architect – SFIA 5

AI Engineer

• Work on exciting public sector projects and make a positive difference in people’s lives.
• As a Graduate Machine Learning Engineer, you’ll start building the skills to research machine learning models and evaluate how they can be applied within our specialist domain.
• Work alongside and learn from a small team who deliver AI capabilities for the UK government.
• Bring a foundation in software engineering from your degree alongside your ML knowledge.
• Get hands-on with research, experiment under guidance, and see how new approaches translate into practical capability for our customers.
• Work closely with, and be mentored by, a small, high-performing team of engineers and researchers, contributing ideas and building new skills as you go.

Graduate Machine Learning Engineer, AI

• Work on exciting public sector projects and make a positive difference in people’s lives.
• Research machine learning models and evaluate their application within the specialist domain.
• Collaborate with a small team to deliver AI capabilities for the UK government.
• Keep learning about various AI techniques such as classical ML, generative, and adversarial methods.
• Experiment with new approaches and translate them into practical capabilities.

Machine Learning Engineer, AI

Business Analyst

• Zaizi are looking for a Senior Business Analyst with Natsec experience to help drive, lead and make a positive contribution to our customer’s digital transformation programmes.
• At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech.
• Our culture is inclusive, modern, friendly and innovative.
• You will have in-depth knowledge of the software development life cycle and be a strong team player, who can communicate well with customers at all stages of the project life cycle and set customer expectations.