Production ML Engineer for Real-World AI

Faculty AI; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible

Sanctus Coaching

Hybrid Working

Job summary

Faculty AI is seeking a Machine Learning Engineer to deliver bespoke, impactful AI solutions for diverse clients. You will bring ML models from development to production, shaping scalable software architecture and best practices.

You will collaborate with engineers, data scientists and commercial leads, ensuring feasibility and timely delivery of high-quality ML systems while guiding non-technical stakeholders with clear communication.

Qualifications

• Proficient in the full machine learning lifecycle and deploying production-grade ML systems.
• Strong Python programming and software engineering practices.
• Experience with cloud platforms and container orchestration.

Responsibilities

• Build and deploy production-grade ML software, tools, and infrastructure.
• Create reusable, scalable solutions that accelerate ML delivery.
• Collaborate with engineers, data scientists, and commercial leads to solve client challenges.
• Lead technical scoping and architectural decisions for feasibility and impact.
• Define and implement standards for deploying ML at scale; act as technical advisor to customers and partners.

Skills

ML lifecycle

Python

Cloud platforms

Docker/Kubernetes

ML frameworks

Communication

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty AI is seeking a Machine Learning Engineer to deliver bespoke, impactful AI solutions for diverse clients. You will bring ML models from development to production, shaping scalable software architecture and best practices.

You will collaborate with engineers, data scientists and commercial leads, ensuring feasibility and timely delivery of high-quality ML systems while guiding non-technical stakeholders with clear communication.