Faculty

Retail & Consumer

MachineLearningEngineer

£70–100k ~AI est. London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Retail & Consumer
Problems you'll solve

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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