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Senior Forward Deployed Engineer

Salary not disclosedOnsite

  • Engineering
  • London
  • Full time
  • Today
Newly posted

About the role

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. This role requires a blend of technical expertise, engineering leadership, and confident client-facing skills.

Responsibilities

  • 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, translating complex concepts into actionable strategies
  • Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth

Required skills

  • Machine Learning
  • Python
  • Software Engineering
  • Cloud platforms
  • Docker
  • Kubernetes
  • TensorFlow
  • PyTorch

About the Company

Faculty was established in 2014 to transform performance through human-centric AI. They work with global customers across government, finance, retail, energy, life sciences, and defence to innovate, build, and deploy responsible AI.