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Machine Learning Engineer

2 months ago

Bournemouth, Bournemouth, United Kingdom Faculty Full time
About Faculty

We are a leading applied AI company, transforming organisational performance through safe, impactful and human-led AI solutions.

Our expertise spans industry-leading software, bespoke AI consultancy, and award-winning Fellowship programs. We partner with over 300 global customers across retail, healthcare, energy, and governmental organisations.

Our high-impact work has saved lives, produced green energy, and kept children safe online. We're seeking talented individuals to help our customers reap the benefits of AI safely.

Job Summary

We're looking for a skilled Machine Learning Engineer to join our Defence business unit. As a key member of our team, you'll design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning.

You'll work with cross-functional teams to deliver technically sophisticated, high-impact systems. Your expertise will help our customers solve complex problems in the defence and national security space.

Key Responsibilities
  • Design and develop software and infrastructure that leverages machine learning
  • Create reusable, scalable tools to enable better delivery of ML systems
  • Work with customers to understand their needs and develop tailored solutions
  • Collaborate with data scientists and engineers to develop best practices and new technologies
  • Implement and develop Faculty's view on operationalising ML software
Requirements
  • Understanding of the full machine learning lifecycle, including deploying trained models
  • Experience in software engineering, including programming in Python
  • Technical experience of cloud architecture, security, deployment, and open-source tools
What We Offer

At Faculty, we value expertise, ambition, and optimism. We're looking for individuals who are passionate about changing the world for the better and have the drive and intelligence to make it happen.

We offer a hybrid working environment, with opportunities to work with our clients, in our Old Street office, and from home. If you're a talented Machine Learning Engineer looking for a challenging and rewarding role, we'd love to hear from you.