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About the Role
Join Faculty as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse Retail & Consumer clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working closely with clients and cross-functional teams, you’ll ensure the technical feasibility and successful delivery of high-quality, production-grade ML systems that drive tangible business outcomes.
Responsibilities
- Building and deploying production-grade ML software, tools, and infrastructure.
- Creating reusable, scalable solutions that accelerate the delivery of AI and machine learning systems across retail and consumer use cases.
- Collaborating with engineers, data scientists, product teams, and commercial leads to solve critical client challenges.
- Leading technical scoping and architectural decisions to ensure project feasibility, scalability, and commercial impact.
- Defining and implementing Faculty’s standards for deploying machine learning systems in production.
- Acting as a trusted technical advisor to customers and partners, translating complex ML concepts into actionable business outcomes.
- Applying machine learning to challenges such as demand forecasting, customer analytics, personalisation, pricing, marketing optimisation, inventory management, and operational efficiency.
- Supporting clients in adopting AI capabilities that improve customer experiences and drive sustainable growth.
Requirements
- Understand the full machine learning lifecycle and have experience operationalising models built with frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Possess strong Python skills and solid experience in software engineering best practices.
- Bring hands-on experience with cloud platforms and infrastructure (e.g. AWS, Azure, GCP), including architecture and security.
- Have worked with containerisation and orchestration tools such as Docker and Kubernetes to build and manage applications at scale.
- Be comfortable with core ML concepts, including probability, statistics, experimentation, and common machine learning techniques.
- Experience working with retail, consumer, ecommerce, marketing, supply chain, or customer data is beneficial but not essential.
- Be an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.
- Thrive in a fast-paced environment and enjoy the autonomy to own scope, solve challenging problems, and deliver impactful solutions.
Skills
- Machine Learning
- Scikit-learn
- TensorFlow
- PyTorch
- Python
- Software Engineering
- Cloud Platforms
- AWS
- Azure
- GCP
- Containerisation
- Docker
- Kubernetes
- Probability
- Statistics
- Experimentation
- Demand Forecasting
- Customer Analytics
- Personalisation
- Pricing
- Marketing Optimisation
- Inventory Management
- Operational Efficiency
Location
- Hybrid Working
Work Type
- Hybrid Working
- Part-time hours considered
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty brings unparalleled depth of technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defence.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement the most powerful applications of AI.
- The Retail & Consumer Business Unit develops and embeds AI solutions to help leading retailers, consumer brands, marketplaces, and digital commerce businesses navigate a rapidly evolving landscape.
- The Retail & Consumer Business Unit develops AI solutions for understanding customers, optimizing operations, improving forecasting and decision-making, and unlocking growth opportunities.
- The Retail & Consumer Business Unit delivers measurable commercial impact through AI in areas such as supply chains, merchandising, marketing, personalisation, and customer experience.
- The Retail & Consumer Business Unit combines technical excellence with practical deployment to ensure solutions create value in complex, real-world environments.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought and strengthens the principle of seeking truth.
- Diverse teams deliver better work, relevant to the world.
- The team is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Faculty strongly encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.