Machine Learning Innovation Leader

4 weeks ago

London, Greater London, United Kingdom Faculty Full time
About Faculty

Faculty is a leading applied AI company that transforms organisational performance through safe, impactful and human-led AI. We provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations.

About the Role:

This role is situated within our Applied AI consultancy, serving clients in our Government & Public Services business unit working on projects across a wide range of areas. As a Lead Machine Learning Engineer, you'll split your time between designing, building, and deploying production-grade software, infrastructure, and MLOps systems, and offering leadership and mentorship to more junior engineers on the team.

Key Responsibilities:

  • Designing and building production-grade software, infrastructure, and MLOps systems.
  • Providing leadership and mentorship to more junior engineers on the team.
  • Collaborating with technical and non-technical stakeholders to deploy ML to solve real-world problems.
  • Developing new methods and championing best practices for managing AI systems deployed at scale.

Requirements:

  • Understanding of the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques.
  • Experience in Software Engineering including programming in Python.
  • Proven experience with cloud architecture, security, deployment, and open-source tools on at least one major cloud platform, preferably AWS.

What We're Looking For:

We are looking for a highly skilled Machine Learning Engineer who can lead our team in delivering high-impact systems. The ideal candidate will have a strong understanding of machine learning concepts, experience in software engineering, and a proven track record of working with cloud architecture and security.

What You'll Be Doing:

  • Working in our Government and Public Services business unit to help our customers solve a broad range of high-impact problems.
  • Developing new methods and championing best practices for managing AI systems deployed at scale.
  • Collaborating with technical and non-technical stakeholders to deploy ML to solve real-world problems.

Why Faculty?

Faculty is a rapidly growing organisation with a dynamic and collaborative culture. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth. If you're passionate about AI and want to be part of a team that is changing the world, we'd love to hear from you.

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