# Senior Forward Deployed Engineer

**Company**: Faculty
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/faculty/c7d3b4b9-fe50-4ebd-8f55-9c6c014014e8?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4f6ad28b-249

## Description

Faculty is seeking a Senior Forward Deployed Engineer to join their National Security and AI Safety business unit. The successful candidate will lead the development and deployment of cutting-edge AI systems for clients.

As a Senior Machine Learning Engineer, you will 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, engineering leadership, and confident client-facing skills.

Key responsibilities include:

- Leading technical scoping and architectural decisions for high-impact ML 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 the team's engineering culture and technical depth

The ideal candidate will have:

- Significant experience operationalising models built with frameworks like TensorFlow or PyTorch

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

- 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

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

- Exceptional communication skills, confidently guiding both technical teams and senior, non-technical stakeholders

The interview process consists of:

- Talent Team Screen (30 minutes)

- Pair Programming Interview (90 minutes)

- System Design Interview (90 minutes)

- Commercial Interview (60 minutes)

Faculty aims to grow the best team, not the most similar one, and encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.

## Skills

### Required
- TensorFlow
- PyTorch
- Python
- AWS
- Azure
- GCP
- Docker
- Kubernetes

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/faculty/c7d3b4b9-fe50-4ebd-8f55-9c6c014014e8?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)