Senior Machine Learning Engineer

Faculty; England; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Flexible working

Sanctus Coaching

Hybrid Working

Job summary

A leading AI company in the United Kingdom is seeking a Senior Machine Learning Engineer to lead AI system development. This role involves designing and deploying scalable ML infrastructure while collaborating with cross-functional teams. Ideal candidates will have robust Python skills, cloud platform experience, and a strong understanding of the machine learning lifecycle. A hybrid work model is offered with a great benefits package including unlimited annual leave.

Qualifications

• Significant experience operationalising machine learning models.
• Strong software engineering with a focus on reusable systems.
• Hands-on experience with cloud platform architecture, security, and infrastructure.

Responsibilities

• Leading architectural decisions for high-impact ML systems.
• Designing and building production-grade ML software.
• Defining best practices for deploying machine learning at scale.

Skills

Machine Learning lifecycle understanding

Python programming

Communication skills

Cloud platforms (AWS, Azure, GCP)

Containerization (Docker, Kubernetes)

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Docker

Kubernetes

Job description

Join to apply for the Senior Machine Learning Engineer role at Faculty

2 weeks ago – Be among the first 25 applicants

Why Faculty?

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human‑centric AI. We don’t chase hype cycles; we innovate, build and deploy responsible AI that moves the needle. Our clients span government, finance, retail, energy, life sciences and defence. AI is an epoch‑defining technology – join a company where you’ll be empowered to envision its most powerful applications and to make them happen.

About the Role

As a Senior Machine Learning Engineer, you’ll lead the development and deployment of cutting‑edge AI systems for our diverse clients. This ambitious, cross‑functional role requires technical expertise, engineering leadership and confident client‑facing skills. You’ll design, build and deploy scalable, production‑grade ML software and infrastructure that meets rigorous operational and ethical standards.

What You’ll Be Doing

• Leading technical scoping and architectural decisions for high‑impact ML systems
• Designing and building production‑grade ML software, tools, and scalable infrastructure
• Defining and implementing best practices and standards for deploying machine learning at scale across the business
• Collaborating with engineers, data scientists, product managers and commercial teams to solve critical client challenges and leverage opportunities
• Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
• Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth

Who We’re Looking For

• Deep understanding of the full ML lifecycle and significant experience operationalising models built with TensorFlow or PyTorch
• Strong software engineering background with robust Python skills, focusing on building reusable systems
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) – architecture, security and infrastructure
• Extensive experience with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale
• Thrives in fast‑paced, high‑growth environments, demonstrating ownership and autonomy in driving projects to completion
• Exceptional communication skills, confidently guiding both technical teams and senior, non‑technical stakeholders

Our Recruitment Ethos

We aim to grow the best team – not the most similar one. Diversity nurtures diverse thinking, strengthening our pursuit of truth. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some Of Our Standout Benefits

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family‑Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working (2 days in our Old Street office, London)

If you don’t feel you meet all the requirements but are excited by the role, please apply or email [e-mail] for a confidential chat – we’re open to part‑time or condensed hours.