Faculty
Retail & Consumer
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Faculty. Skills: Machine Learning, MLOps, Software Architecture. Build production-grade ML software. Deploy production-grade ML software”
What You'll Achieve.
Deliver impactful AI solutions; Bring ML out of lab; Ensure technical feasibility; Ensure successful delivery; Drive tangible business outcomes
Industry & Context.
Solve challenging problems
What They're Looking For.
Must Have
Full machine learning lifecycle understanding, Operationalize models with Scikit-learn, TensorFlow, or PyTorch, Python skills, Software engineering best practices experience, Cloud platforms and infrastructure experience, Containerisation and orchestration tools experience, Core ML concepts knowledge, Probability knowledge, Statistics knowledge, Experimentation knowledge, Common machine learning techniques knowledge
Nice to Have
Retail, consumer, ecommerce, marketing, supply chain, or customer data experience
What You'll Do.
Build production-grade ML software
Deploy production-grade ML software
Build ML infrastructure
Deploy ML infrastructure
Create reusable solutions
Create scalable solutions
Accelerate AI delivery
Accelerate machine learning systems delivery
Collaborate with engineers
Collaborate with data scientists
Collaborate with product teams
Collaborate with commercial leads
Solve client challenges
Lead technical scoping
Lead architectural decisions
Define Faculty's standards
Implement Faculty's standards
Act as technical advisor
Translate ML concepts
Apply machine learning
Improve customer experiences
Drive sustainable growth
How You'll Work.
Team & Collaboration
Cross-functional teams; Client collaboration; Partner collaboration
Communication Scope
Guide technical teams; Advise non-technical stakeholders
Full Job Description
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM In our Retail & Consumer Business Unit, we bring everything we have learned in more than a decade of Applied AI and use it to help leading retailers, consumer brands, marketplaces, and digital commerce businesses navigate a rapidly evolving landscape. We develop and embed AI solutions that help organisations better understand their customers, optimise operations, improve forecasting and decision-making, and unlock new opportunities for growth. From supply chains and merchandising to marketing, personalisation, and customer experience, we work with clients to deliver measurable commercial impact through AI. We are proud to combine technical excellence with practical deployment, ensuring solutions create value in complex, real-world environments. ABOUT THE ROLE Join us 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 architec
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