Salary: £41,000 - 71,500 per year Requirements: Proven experience leading high-performing software engineering teams Strong Python development (3.9) and experience building APIs using FastAPI Commercial experience with AWS, including serverless architectures and infrastructure as code Experience with OCR, object detection, or LLM-based automation solutions Expertise with Docker, GitLab pipelines, and CI/CD practices Strong understanding of secure, scalable cloud architecture and operational readiness Responsibilities: Provide day-to-day technical leadership to a cross-functional agile development team Lead the design and delivery of automation services supporting land registration workflows Establish delivery practices including agile ceremonies, quality gates, and continuous improvement Design scalable, secure, and resilient solutions on the AWS cloud platform Develop and maintain CI/CD pipelines enabling frequent and safe releases Implement automation workflows that move cases through defined decision points with full auditability Ensure solutions meet non-functional requirements including security, reliability, performance, and maintainability Implement monitoring, alerting, dashboards, and operational runbooks for production services Collaborate with product, design, operations, and data teams to shape the delivery roadmap Mentor engineers and champion engineering best practices across the team Technologies: AI AWS CI/CD Cloud Docker FastAPI GitLab Support LLM Python Security Serverless DevOps More: We are seeking an experienced Technical Lead to provide hands-on leadership to our agile development team delivering automation capabilities within a large-scale land registration platform. This remote role, with occasional trips to Edinburgh or Glasgow, focuses on accelerating automation delivery by establishing strong engineering practices, building scalable cloud services, and guiding our team of Python engineers to deliver innovative AI-driven solutions. Join us for a 6-month engagement with a competitive day rate, and play a key role in delivering a production-ready automation service that leverages OCR, object detection, and large language models to support accurate and scalable decision-making. last updated 11 week of 2026