Senior ML Engineer - Production AI, Hybrid/Remote

Faculty AI; Greater London; Hybrid; GBP 90,000 - 130,000; 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 is seeking a Senior Machine Learning Engineer to lead development and deployment of production-grade ML systems for our diverse clients, including Defence-focused projects. You’ll design, build and deploy scalable ML software and infrastructure that meets rigorous ethical and operational standards.

This cross-functional role combines technical leadership with client-facing responsibilities and mentorship, requiring strong Python and cloud skills, plus experience with Docker and

Qualifications

• - You understand the full ML lifecycle and have significant experience operationalising models built with TensorFlow or PyTorch.
• - You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems.
• - You have demonstrable hands-on experience with cloud platforms (AWS/Azure/GCP), including architecture, security and infra.
• - You have extensive experience with containerization and orchestration (Docker, Kubernetes) to build and manage scalable apps.
• - You thrive in fast-paced environments with ownership and autonomy in delivering projects.
• - You communicate exceptionally well with technical and non-technical stakeholders.

Responsibilities

• Lead technical scoping and architectural decisions for high-impact ML systems.
• Design and build production-grade ML software, tools and scalable infrastructure.
• Define and implement best practices for deploying ML at scale across the business.
• Collaborate with engineers, data scientists, product managers and commercial teams to solve client challenges.
• Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies.
• Mentor and develop junior engineers, shaping the team’s engineering depth.

Skills

TensorFlow

PyTorch

Python programming

Cloud platforms

Docker

Kubernetes

Ownership

Communication

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Docker

Kubernetes

Python

Job description

Faculty is seeking a Senior Machine Learning Engineer to lead development and deployment of production-grade ML systems for our diverse clients, including Defence-focused projects. You’ll design, build and deploy scalable ML software and infrastructure that meets rigorous ethical and operational standards.

This cross-functional role combines technical leadership with client-facing responsibilities and mentorship, requiring strong Python and cloud skills, plus experience with Docker and