Forward Deployed Engineer

📋 Description

• Building and deploying production‑grade ML software, tools, and infrastructure.
• Creating reusable, scalable solutions that accelerate ML delivery.
• Collaborating with engineers, data scientists, and commercial leads to solve client challenges.
• Leading technical scoping and architectural decisions for project feasibility and impact.
• Defining and implementing Faculty’s standards for deploying machine learning at scale.
• Advising customers and partners, translating complex ML concepts for stakeholders.

🎯 Requirements

• You understand the full machine learning lifecycle and have experience with Scikit-learn
• Strong Python skills and software engineering best practices.
• Hands-on experience with cloud platforms and infrastructure (AWS, Azure, GCP), including
• Experience with Docker and Kubernetes to build and manage scalable apps.
• Comfort with core ML concepts, probability, statistics, and common techniques.
• Excellent communicator, able to guide technical teams and advise non‑technical stakeholders.

🎁 Benefits

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family-Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working