Machine Learning Engineer

Salary: £57,000 - 97,000 per year

Requirements:

• We have experience across the full machine learning lifecycle, including operationalising models built with frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• We have strong Python skills and solid software engineering best practices.
• We have hands-on experience with cloud platforms and infrastructure such as AWS, Azure, or GCP, including architecture and security.
• We have experience with container and orchestration tools such as Docker and Kubernetes for building and managing applications at scale.
• We understand core machine learning concepts, including probability, statistics, and common learning techniques.
• We are excellent communicators, able to guide technical teams and advise non-technical stakeholders confidently.
• We thrive in a fast-paced environment and enjoy the autonomy to own scope, solve problems, and deliver solutions.

Responsibilities:

• We build and deploy production-grade machine learning software, tools, and infrastructure.
• We create reusable, scalable solutions that accelerate the delivery of machine learning systems.
• We collaborate with engineers, data scientists, and commercial leads to solve critical client challenges.
• We lead technical scoping and architectural decisions to ensure project feasibility and impact.
• We define and implement our standards for deploying machine learning at scale.
• We act as technical advisors to customers and partners, translating complex machine learning concepts for stakeholders.

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 performance through human-centric AI. We innovate, build, and deploy responsible AI that delivers measurable impact across government, finance, retail, energy, life sciences, and defence. Our Professional and Financial Services business unit helps financial institutions become more efficient, enhance customer experience, and find commercial opportunity in uncertain markets, while setting the gold standard for technical excellence and safe deployment. We are based in London and offer hybrid working, full-time employment, and a benefits package that includes unlimited annual leave, private healthcare and dental, enhanced parental leave, family-friendly flexibility, Sanctus coaching, and flexible working. We value diversity, intellectual curiosity, and positive impact, and we encourage applications from people of all backgrounds. We also welcome conversations about part-time hours.

last updated 33 week of 2026