Forward Deployed Engineer
Core
Deliver bespoke, impactful AI solutions for diverse clients by bringing machine learning out of the lab into the real world, contributing to scalable software architecture, and defining best practices.
Role type
Senior Machine Learning Engineer (Forward Deployed)
Builds
Production-grade ML software, tools, and infrastructure for government, finance, retail, energy, life sciences, and defence clients.
Domain
National Security and AI Safety
Deliverable
production ML models
Required skills
Full machine learning lifecycle, Python, software engineering best practices, cloud platforms (AWS/Azure/GCP), container orchestration (Docker/Kubernetes), core ML concepts (probability, statistics, learning techniques)
Preferred skills
Experience operationalising models with Scikit-learn, TensorFlow, or Pytorch
Technologies
Scikit-learn, TensorFlow, PyTorch, Python, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Building and deploying production-grade ML software, tools, and infrastructure; Creating reusable, scalable solutions; Collaborating with engineers, data scientists, and commercial leads; Leading technical scoping and architectural decisions; Defining and implementing standards for deploying machine learning at scale; Acting as a technical advisor to customers and partners
Seniority
Senior, hands-on IC