Machine Learning Engineer: Personalization

Team: IT

Location: UK

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Develop and improve personalized experiences across different products, platforms, and e-commerce domains.
• Design, build, ship, and maintain high-load, real-time machine learning services supporting personalization at scale.
• Model user interactions and behavioral signals to better understand shopper preferences and deliver relevant experiences.
• Research and evaluate different personalization and recommendation approaches to identify opportunities for improvement.
• Formulate and validate hypotheses around personalization using data, experimentation, and A/B testing.
• Analyze the impact of personalization initiatives and identify opportunities to improve key business performance indicators.
• Collaborate closely with technical and non-technical stakeholders to develop, refine, and evolve personalization capabilities.
• Work cross-functionally with engineering and machine learning teams, including ranking teams, to deliver integrated solutions.
• Communicate technical findings, recommendations, and business value clearly to stakeholders within and beyond the team.
• Take ownership of problems from investigation and experimentation through implementation and continuous improvement.

Requirements:

• 3+ years of professional experience in applied machine learning.
• Strong proficiency in Python and SQL, with experience using the big data stack for end-to-end machine learning product development.
• Proven experience building, deploying, and maintaining personalization, recommendation, or ranking systems in production.
• Practical understanding of machine learning development in high-scale, production environments.
• Experience designing and analyzing A/B tests and using experimental results to guide product or model decisions.
• Experience translating machine learning initiatives into measurable business value and communicating that value effectively to stakeholders.
• Experience with one or more major public cloud platforms is a plus.
• Excellent English communication skills, both written and verbal.
• Experience working effectively in cross-functional teams with technical and non-technical colleagues.
• Strong analytical and problem-solving skills, with the ability to investigate complex problems and turn findings into actionable outcomes.
• Ability to work autonomously, take ownership, and make progress independently.
• Proactive mindset with a strong focus on collaboration, learning, and delivering meaningful impact.

Benefits:

• Fully remote working environment, giving you flexibility over where you live.
• Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks of vacation each year.
• Work-from-home stipend to help you create a well-equipped home office.
• Apple laptop provided for new employees.
• Annual training and professional development budget.
• Maternity and paternity leave for eligible employees.
• Regular team offsite events to connect and collaborate.
• Opportunity to work with talented and empathetic colleagues who support your growth and enable you to make a meaningful impact.
• Base salary of $80,000–$120,000 USD, depending on knowledge, skills, experience, and interview results.
• Stock options offered in addition to the base salary.