Zaizi

Engineering Manager

• Own Arran’s engineering strategy, standards and technical assurance across client engagements
• Champion secure, scalable and maintainable services using modern cloud, DevSecOps and software engineering practices
• Develop Arran’s practical capability to build and integrate AI into production government services
• Establish engineering approaches for LLMs, RAG and agentic systems, addressing security, privacy, responsible AI, operational resilience and government constraints
• Ensure engineering aligns with the GDS Service Standard, Technology Code of Practice, NCSC Secure by Design, accessibility and data protection requirements
• Work with architects and client technical authorities to provide technical governance and assurance
• Act as Head of Profession for Engineering and build and develop high-performing engineers and technical leaders
• Identify future capability needs and create opportunities for practical AI and emerging technology experience through delivery, accelerators and learning
• Act as a trusted senior technical advisor to Central Government clients
• Translate complex problems into pragmatic technical approaches and communicate trade-offs
• Represent Zaizi in senior client and technical governance discussions
• Shape technical propositions, solutions, teams and estimates for strategically important opportunities
• Turn successful delivery into reusable capabilities and propositions
• Share accountability with the Club Executive and Heads of Product and Delivery for Arran’s overall performance
• Help protect and grow clients, build capability through delivery, and balance client outcomes, people, quality and commercial performance

Explore Head of Engineering at Zaizi. Review requirements and application details.

Head of Engineering

AI Engineer

• Research, develop, and test new AI algorithms, models, and technologies
• Build complex machine learning models
• Design, manage, and operate MLOps pipelines for CI/CD, monitoring, and model retraining
• Design, build, test, and deploy complex machine learning models
• Decide which models are most suitable for products and services
• Act as technical expert for complex, non-routine machine learning challenges
• Customise, optimise, retrain, and maintain existing models
• Deploy models into production and test and assure them against performance requirements
• Integrate models with existing systems
• Monitor live models to ensure they remain safe, secure, and effective
• Mentor junior team members
• Influence technical decisions within the team

Explore Lead Machine Learning Engineer, AI at Zaizi. Review requirements and application details.