ML Scientist: End-to-End Recommender & GenAI Systems in City of Westminster

ML Scientist: End-to-End Recommender & GenAI Systems in City of Westminster

City of Westminster Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Create personalised product recommendations using machine learning and AI.
  • Company: Marks and Spencer plc, a leading UK retailer.
  • Benefits: 20% discount on products, competitive holiday entitlement, and more.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a dynamic team to innovate with cutting-edge ML and AI technologies.
  • Qualifications: Proven experience in ML/AI and strong software engineering skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Marks and Spencer plc (UK) are seeking candidates for a role focused on utilizing machine learning and AI to create personalized product recommendations.

The successful candidate will design and develop end-to-end systems while collaborating across Product, Engineering, and business teams.

Critical qualifications include a proven track record in ML/AI, experience with large-scale datasets, and strong software engineering principles.

The position also offers various benefits, including a 20% discount on all products and competitive holiday entitlement.

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Contact Details:

Marks and Spencer plc (UK) Recruitment Team

We think you need these skills to ace ML Scientist: End-to-End Recommender & GenAI Systems in City of Westminster

Machine Learning
Artificial Intelligence
End-to-End System Design
Personalised Product Recommendations
Large-Scale Datasets
Software Engineering Principles
Collaboration Skills