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Machine Learning Engineer

Faculty· Engineering
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Hybrid (London)Full-timePosted 4mo ago

About the role

Machine Learning Engineer to deliver bespoke, impactful AI solutions for Retail & Consumer clients, transitioning ML from lab to production and defining best practices across scalable software architecture.

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.

Qualifications

  • You understand the full machine learning lifecycle and have experience operationalising models built with frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • You possess strong Python skills and solid experience in software engineering best practices.
  • You bring hands-on experience with cloud platforms and infrastructure (e.g. AWS, Azure, GCP), including architecture and security.
  • You’ve worked with containerisation and orchestration tools such as Docker and Kubernetes to build and manage applications at scale.
  • You are 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.
  • You’re an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.
  • You thrive in a fast-paced environment and enjoy the autonomy to own scope, solve challenging problems, and deliver impactful solutions.

Skills

Required:Full ML lifecyclePythonCloud platformsContainerisation & orchestrationML concepts
Last updated Oct 21, 2026. Interested? Apply on the company site.
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