# Machine Learning Engineer

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

**Apply**: https://jobs.ashbyhq.com/faculty/ac225749-86c6-44cc-aa32-e847fc25c7f9?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6c689f21-1cb

## Description

Faculty is looking for a Machine Learning Engineer to deliver bespoke AI solutions for its diverse clients. The engineer will contribute to scalable software architecture, define best practices, and work with clients and cross-functional teams to ensure technical feasibility and timely delivery of high-quality ML systems.

The ideal candidate will have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch, strong Python skills, and hands-on experience with cloud platforms and infrastructure.

Responsibilities:

- Building and deploying production-grade ML software, tools, and infrastructure

- Creating reusable, scalable solutions that accelerate the delivery of ML systems

- Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges

- Leading technical scoping and architectural decisions to ensure project feasibility and impact

- Defining and implementing Faculty's standards for deploying machine learning at scale

- Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders

Requirements:

- Understanding of the full machine learning lifecycle

- Experience with frameworks like Scikit-learn, TensorFlow, or PyTorch

- Strong Python skills and software engineering best practices

- Hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP)

- Experience with container and orchestration tools such as Docker & Kubernetes

- Comfortable with core ML concepts, including probability, statistics, and common learning techniques

- Excellent communication skills

Benefits:

- Opportunity to work on impactful AI projects

- Collaborative and dynamic work environment

- Flexible working arrangements

Interview Process:

- Talent Team Screen (30 minutes)

- Pair Programming Interview (90 minutes)

- System Design Interview (90 minutes)

- Commercial Interview (60 minutes)

## Skills

### Required
- Python
- Scikit-learn
- TensorFlow
- PyTorch
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- machine learning

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/faculty/ac225749-86c6-44cc-aa32-e847fc25c7f9?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)