Machine Learning Engineer - Production-Grade AI, Hybrid Work

Faculty; Greater London; Hybrid; GBP 85,000 - 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 in London is seeking a Machine Learning Engineer to deliver bespoke AI solutions for diverse clients. You will bring hands-on ML experience and production-grade software delivery to real-world problems, turning research into scalable systems.

You will collaborate with engineers, data scientists and commercial leads to ensure feasibility and timely delivery, while defining deployment standards and guiding stakeholders through complex ML concepts.

Qualifications

• Experience with the full ML lifecycle from development to deployment.
• Strong Python programming and software engineering practices.
• Hands-on with cloud platforms and container orchestration.
• Excellent communication to guide technical teams and stakeholders.

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.
• Lead technical scoping and architectural decisions for feasibility and impact.
• Define and implement deployment standards for ML at scale.
• Act as a technical advisor to customers and partners.

Skills

ML lifecycle

Python

Communication

Scikit-learn

TensorFlow

PyTorch

Cloud platforms

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty in London is seeking a Machine Learning Engineer to deliver bespoke AI solutions for diverse clients. You will bring hands-on ML experience and production-grade software delivery to real-world problems, turning research into scalable systems.

You will collaborate with engineers, data scientists and commercial leads to ensure feasibility and timely delivery, while defining deployment standards and guiding stakeholders through complex ML concepts.