Senior Machine Learning Engineer

Salary: £57,000 - 97,000 per year

Requirements:

• We understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch.
• We bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems.
• We have demonstrable hands-on experience with cloud platforms such as AWS, Azure, or GCP, including architecture, security, and infrastructure.
• We have extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale.
• We thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion.
• We communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders.

Responsibilities:

• We lead technical scoping and architectural decisions for high-impact ML systems.
• We design and build production-grade ML software, tools, and scalable infrastructure.
• We define and implement best practices and standards for deploying machine learning at scale across the business.
• We collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities.
• We act as trusted technical advisors to customers and partners, translating complex concepts into actionable strategies.
• We mentor and develop junior engineers, actively shaping our teams engineering culture and technical depth.

Technologies:

• AI
• AWS
• Azure
• Cloud
• Docker
• GCP
• Kubernetes
• Machine Learning
• PyTorch
• Python
• Security
• TensorFlow

More:

We established Faculty in 2014 because we believed AI would be the most important technology of our time. Since then, we have worked with over 350 global customers to transform their performance through human-centric AI. We innovate, build, and deploy responsible AI for clients across government, finance, retail, energy, life sciences, and defence. Our Life Sciences team builds AI solutions to help optimise the research and commercialisation of life-changing therapies, partnering with major pharma firms, academic research centres, and MedTech start-ups. This Senior Machine Learning Engineer role is based in London, UK, with hybrid working. We offer standout benefits including unlimited annual leave, private healthcare and dental, enhanced parental leave, family-friendly flexibility, flexible working, Sanctus coaching, and hybrid working. We welcome applications from people of all backgrounds and are open to conversations about part-time hours.

last updated 36 week of 2026