Machine Learning Engineer - London, United Kingdom - Faculty

Description

Working in our Defence business unit, 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 space - examples of which can be found here .

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning.

To enable this, we work in cross-functional teams with representation from commercial, data science, product management, and design specialities to cover all aspects of AI product delivery.

The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects.

As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by:

# Building software and infrastructure that leverages Machine Learning;
# Working with our customers to help understand their needs
# Working with data scientists and engineers to develop best practices and new technologies; Implementing and developing Faculty's view on what it means to operationalise ML software.

Working in cross-functional teams of engineers, data scientists, designers, and managers to deliver technically sophisticated, high-impact systems.
Working with senior engineers to scope projects and design systems

We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen.

Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'.

Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
Demonstrable experience of managing/mentoring more junior members of the team
Experience in Software Engineering including programming in Python
Technical experience of cloud architecture, security, deployment, and open-source tools.