MACHINE LEARNING ENGINEERUK | Hybrid / Remote
We’re looking for a Machine Learning Engineer to join a growing AI team, delivering impactful AI solutions for clients across retail, consumer, ecommerce and digital commerce.
You’ll take a hands-on role building and deploying production-grade machine learning systems, developing scalable software solutions and working closely with clients to turn complex challenges into measurable business outcomes.
THE ROLE
- Build and deploy production-grade machine learning software, tools and infrastructure
- Develop reusable, scalable solutions to accelerate AI delivery
- Work across machine learning projects, from initial scoping through to deployment
- Contribute to technical architecture and engineering best practices
- Collaborate with engineers, data scientists, product teams and commercial stakeholders
- Apply machine learning to challenges such as demand forecasting, customer analytics, personalisation, pricing and inventory management
- Advise clients on technical solutions, translating complex ML concepts into practical business outcomes
- Support organisations in adopting AI to improve customer experience and operational efficiency
WHAT WE’RE LOOKING FOR
- Commercial experience in Machine Learning Engineering
- Strong Python skills and a solid software engineering background
- Understanding of the full machine learning lifecycle and experience deploying models into production
- Experience with frameworks such as Scikit-learn, TensorFlow or PyTorch
- Hands-on experience with AWS, Azure or GCP, including cloud infrastructure and architecture
- Experience with Docker and Kubernetes for containerisation and orchestration
- Understanding of core machine learning concepts, probability, statistics and experimentation
- Strong communication skills, with the ability to engage technical teams and non-technical stakeholders
- Ability to take ownership of projects and deliver scalable, high-quality solutions in a fast-paced environment
Desirable: Experience working with retail, consumer, ecommerce, marketing, supply chain or customer data.
INTERVIEW PROCESS
- Talent Team Screen (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial Interview (60 minutes)
We welcome applications from candidates with diverse backgrounds. If you don’t meet every requirement but have relevant strengths and a genuine interest in machine learning, we’d still encourage you to apply.
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