Machine Learning Engineer

Faculty

full-time

Posted on: 9/2/2025

Origin: • 🇬🇧 United Kingdom

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Mid-LevelSenior

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnTensorflow

About the role

At Faculty, we transform organisational performance through safe, impactful and human-centric AI.
You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning.
The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena.
Building software and infrastructure that leverages Machine Learning;
Creating reusable, scalable tools to enable better delivery of ML systems
Working with our customers to help understand their needs
Working with data scientists and engineers to develop best practices and new technologies; and
Implementing and developing Faculty’s view on what it means to operationalise ML software.

Understanding of, and experience with the full machine learning lifecycle
Working with Data Scientists to deploy trained machine learning models into production environments
Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
Experience with software engineering best practices and developing applications in Python.
Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)
Demonstrable experience with containers and specifically Docker and Kubernetes
An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
Demonstrable experience of managing/mentoring more junior members of the team
Outstanding verbal and written communication.
Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution