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# Lead Machine Learning Engineer

- **Company:** Faculty
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Software Engineering, Software Systems, TypeScript, Google Cloud, Kubernetes, Docker
- **Published:** August 28, 2026
- **Apply:** https://www.totaljobs.com/job/lead-machine-learning-engineer/faculty-job107907774

## About the Role

* You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.
 * 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 are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.
 * You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
 * You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
 * You find novel, clever solutions for project delivery and take ownership for successful project outcomes.
 * You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.

## Description

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI and software projects. You will act as a technical expert, applying your skills across various projects from solution architecture to client-side deployments, while ensuring engineering decisions are sound and reliable.
This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future.

What you'll be doing

 * Setting the technical direction for complex ML and software projects, balancing trade-offs, and guiding team priorities
 * Architecting, implementing, and maintaining reliable, scalable ML/software systems, and justifying key architectural decisions.
 * Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.
 * Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.
 * Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.
 * Proactively developing and executing recommendations for adopting new technologies, tools and changing our ways of working to stay ahead of the competition.
 * Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.


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