Faculty

Machine Learning Engineer

Faculty

full-time

Posted on:

Location: 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

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.

Requirements

  • 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
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