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# Senior Software Engineer

- **Company:** Faculty
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Python (Programming Language), Machine Learning, Software Architecture, Software Engineering, Software Systems, TypeScript, Workflow Management Systems, Google Cloud, Docker
- **Published:** August 30, 2026
- **Apply:** https://www.totaljobs.com/job/senior-software-engineer/faculty-job107914401

## About the Role

* You possess strong software engineering skills in Python and at least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript), and know how to build robust, production-grade systems.
 * You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
 * You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
 * You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
 * You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
 * You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders

## Description

As a Senior Software Engineer, we'll look to you to lead development and deployment of cutting-edge AI and software systems for our diverse clients. You'll design, build, and deploy scalable, production-grade ML/software and infrastructure that meets rigorous operational and ethical standards.

This is an ambitious, cross-functional role requiring a blend of technical expertise and confident client-facing skills.

What you'll be doing:

 * Leading technical scoping and architectural decisions for high-impact ML and software systems
 * Designing and building production-grade ML/software, tools, and scalable infrastructure
 * Defining and implementing best practices and standards for deploying machine learning at scale across the business
 * Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
 * Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
 * Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth


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