Description
Faculty is looking for a Senior Machine Learning Engineer to join their team in London. As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients. You will design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards.
The role involves leading technical scoping and architectural decisions for high-impact ML systems, designing and building production-grade ML software, tools, and scalable infrastructure, defining and implementing best practices and standards for deploying machine learning at scale across the business, collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities, acting as a trusted technical advisor to customers and partners, and mentoring and developing junior engineers.
The ideal candidate will have significant experience operationalising models built with frameworks like TensorFlow or PyTorch, deep expertise in software engineering and strong Python skills, demonstrable hands-on experience with cloud platforms, extensive experience working with container and orchestration tools, and excellent communication skills.
Responsibilities:
- Lead technical scoping and architectural decisions for high-impact ML systems
- Design and build production-grade ML software, tools, and scalable infrastructure
- Define and implement best practices and standards for deploying machine learning at scale across the business
- Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
- Act as a trusted technical advisor to customers and partners
- Mentor and develop junior engineers
Requirements:
- Understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
- Bring deep expertise in software engineering and strong Python skills
- Have demonstrable hands-on experience with cloud platforms
- Extensive experience working with container and orchestration tools
- Thrive in fast-paced, high-growth environments
- Communicate exceptionally well
The interview process consists of four stages: Talent Team Screen, Pair Programming Interview, System Design Interview, and Commercial Interview.
Faculty aims to grow the best team, not the most similar one, and encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.