Machine Learning Engineer

Stack

Responsibilities

• ▹Build and deploy production-grade ML software, tools, and infrastructure
• ▹Create reusable, scalable solutions that accelerate the delivery of ML systems
• ▹Collaborate with engineers, data scientists, and commercial leads to solve critical client challenges
• ▹Lead technical scoping and architectural decisions to ensure project feasibility and impact
• ▹Define and implement Faculty's standards for deploying machine learning at scale
• ▹Act as a technical advisor to customers and partners, translating complex ML concepts for stakeholders

Requirements

• ▹Understanding of the full machine learning lifecycle, with experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch
• ▹Strong Python skills and solid experience in software engineering best practices
• ▹Hands-on experience with cloud platforms and infrastructure (AWS, Azure, GCP), including architecture and security
• ▹Experience with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale
• ▹Comfortable with core ML concepts, including probability, statistics, and common learning techniques
• ▹Eligibility for UK Security Clearance (SC), willingness to work 2-4 days per week on-site with defence customers

Soft skills

What we offer

• ▹Unlimited Annual Leave Policy
• ▹Private healthcare and dental
• ▹Enhanced parental leave
• ▹Family-Friendly Flexibility & Flexible working
• ▹Sanctus Coaching
• ▹Hybrid Working

About the company

Faculty, founded in 2014, is an AI company that has worked with over 350 global customers across government, finance, retail, energy, life sciences and defence, building and deploying responsible, human-centric AI. This role sits within the Defence team, which builds AI solutions for the defence sector; it requires eligibility for UK Security Clearance (SC) and 2-4 days per week on-site with defence clients, with the flexibility to work from Faculty's London office or remotely elsewhere in the UK the rest of the time.