Machine Learning Engineer (Recommenders)

We are seeking a Machine Learning Engineer with a strong foundation in Machine Learning/Deep Learning to join a cross-functional team. You'll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data-rich challenges.

In this role, you'll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting, all at enterprise scale.

Key Responsibilities

• Collaborate with cross-functional teams to design, implement, and optimise machine learning models for real-world business use cases. With a focus at the moment on recommender systems.
• Deploy and maintain both batch and real-time machine learning systems at scale.
• Work alongside data scientists to translate experimental models into robust production-ready solutions.
• Continuously improve model accuracy, system efficiency, and platform capabilities.
• Contribute to defining team best practices and engineering standards in machine learning development.
• Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.

About You

• Hands-on professional experience in developing and deploying machine learning solutions, with a focus on deep learning.
• Experience working with modern ML frameworks and familiarity with end-to-end deployment workflows.
• Proficiency in training models using GPUs, and a strong interest in distributed computing and scalable systems.
• Familiar with software development practices including version control, CI/CD, containerization, and monitoring, especially within ML Ops workflows.
• A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.
• Motivated self-starter with a desire to learn, share knowledge, and grow in a fast-paced environment.

BeneFITS’ 

• Competitive salary and performance-based bonus scheme
• Generous employee discount and exclusive product access
• Structured personal and professional development opportunities
• Paid annual leave plus an additional day for special personal milestones
• Flexible benefits allowance and private medical care options
• Access to a variety of online learning resources and employee-led communities
• A supportive, inclusive, and dynamic workplace where innovation thrives