Senior Machine Learning Engineer (£110k-£130k) at Faculty

Jack & Jill; Greater London; Hybride; GBP 110 000 - 130 000; Plein temps

Résumé du poste

Faculty in London is seeking a Senior Machine Learning Engineer to own the full ML lifecycle from scoping to deployment. This hybrid role combines deep engineering with client advisory to deliver production-grade AI systems for life sciences.

You will work with TensorFlow or PyTorch, design scalable Python software, and guide stakeholders through architectural trade-offs, with exposure to AWS/Azure/GCP.

Qualifications

• Experience deploying ML models to production with TensorFlow or PyTorch.
• Strong Python software engineering skills and reusable code design.
• Excellent communication to explain complex AI concepts to stakeholders.

Responsabilités

• Lead scoping and architecture for production-grade ML systems.
• Develop ML software and infrastructure using Python, Docker & Kubernetes.
• Advise senior stakeholders on AI strategy and deployment standards.

Connaissances

TensorFlow/PyTorch experience

Python

Communication skills

Outils

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Description du poste

Job Title

Senior Machine Learning Engineer

Salary

£110k-£130k

Company Description

Faculty is an established London-based AI consultancy founded in 2014 that has delivered human-centric AI solutions to over 350 global customers. Specializing in high-impact sectors like government, finance, and life sciences, they focus on building responsible, production-grade technology that solves complex real-world challenges for organizations worldwide.

Job Description

Join Faculty's Life Sciences team to lead the development of production-grade AI systems for pharma and MedTech leaders. You will own the full ML lifecycle - from technical scoping and architecture to deployment and monitoring. This hybrid London role balances deep engineering with client advisory to deliver AI solutions that accelerate life-changing healthcare therapies.

Location

London, UK

Why this role is remarkable

• Lead high-impact projects within the Life Sciences sector, partnering with major pharma firms and MedTech startups to optimize the commercialization of life-changing therapies.
• Own the entire path from model to monitored production system, exercising significant autonomy over architectural decisions and deployment standards across the business.
• Join a mature, intellectually curious culture at one of the UK's most respected AI consultancies with a decade-long track record of success.

What You Will Do

• Lead technical scoping and architectural decisions for scalable, production-grade machine learning systems meeting rigorous ethical and operational standards.
• Design and build robust ML software and infrastructure using Python, Docker, and Kubernetes across major cloud platforms like AWS, Azure, or GCP.
• Act as a trusted technical advisor to senior stakeholders, translating complex AI concepts into actionable strategies that solve critical healthcare challenges.

The ideal candidate

• Significant experience operationalizing models built with TensorFlow or PyTorch, transitioning them from training environments into monitored, live production systems.
• Expert-level Python software engineering skills with a focus on building reusable systems and a deep understanding of cloud infrastructure and containerization.
• Excellent communication skills with the ability to guide both technical teams and non-technical client stakeholders through complex architectural trade-offs.