Senior Machine Learning Engineer
1 month ago
Faculty is a leading applied AI company that transforms organisational performance through safe, impactful and human-led AI. We provide industry-leading software and bespoke AI consultancy to over 300 global customers across various sectors, including retail, healthcare, energy, and governmental organisations.
About the RoleThis role is situated within our Applied AI consultancy, serving clients in our Government & Public Services business unit. As a Lead Machine Learning Engineer, you'll design, build, and deploy production-grade software, infrastructure, and MLOps systems, while offering leadership and mentorship to more junior engineers on the team.
Key Responsibilities- Design and develop production-grade software, infrastructure, and MLOps systems
- Lead and mentor junior engineers on the team
- Collaborate with technical and non-technical stakeholders to deploy ML to solve real-world problems
- Develop new methods and champion best practices for managing AI systems deployed at scale
- Understanding of the full machine learning lifecycle, including deploying trained machine learning models
- 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
- Demonstrable experience with containers and specifically Docker and Kubernetes
- Experience growing the technical capabilities of a team
We're looking for a talented and ambitious individual who combines expertise and drive with a passion for changing the world for the better. If you're interested in solving high-impact problems in the Government and Public Services space, and have a keen interest in taking cutting-edge ML applications into the real world, we'd love to hear from you.
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