Technical Lead - Automation (Python / AWS)
Location - Remote, with occasional trip to Edinburgh/ Glasgow required
Duration - 6 months with possible extensions
Day rate - circa £550 p/d (outside ir35)
We are seeking an experienced Technical Lead to provide hands-on leadership to an agile development team delivering automation capabilities within a large-scale land registration platform. This role will focus on accelerating automation delivery by establishing strong engineering practices, building scalable cloud services, and guiding a team of Python engineers to deliver innovative AI-driven solutions.
You will play a key role in delivering a production-ready automation service that leverages OCR, object detection, and large language models (LLMs) to support accurate and scalable decision-making.
Key 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.
Essential Skills & Experience
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.
Please apply today to be considered
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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