# Senior Machine Learning Engineer

**Company**: Faculty
**Location**: Remote (UK)
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/faculty/27e13461-0792-4c98-94e5-a989cf4b8701?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c7382d33-f61

## Description

As a Senior Machine Learning Engineer at Faculty, you'll lead development and deployment of cutting-edge AI systems for diverse clients.

Faculty is a company that has worked with over 350 global customers to transform their performance through human-centric AI since its establishment in 2014.

The Defence team at Faculty focuses on building and embedding human-centered AI solutions to give the nation a competitive edge in the defence sector.

**About the Role**

You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards.

**Responsibilities**

- Lead technical scoping and architectural decisions for high-impact ML systems

- Design and build production-grade ML software, tools, and scalable infrastructure

- Define and implement best practices and standards for deploying machine learning at scale across the business

- Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities

- Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies

- Mentor and develop junior engineers, actively shaping the team's engineering culture and technical depth

**Requirements**

- Understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch

- Bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems

- Have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure

- Extensive experience working with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale

- Thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion

- Communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders

## Skills

### Required
- Machine Learning
- Python
- TensorFlow
- PyTorch
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Cloud Computing

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/faculty/27e13461-0792-4c98-94e5-a989cf4b8701?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)