I'm working with an exciting AI business that's building the technology behind how some of the world's largest organisations understand jobs, skills and talent.
They're looking for a Data Scientist to join their Product & Engineering team, working on AI models that power matching, recommendations and talent intelligence products.
This is a great opportunity to work on real-world ML problems, combining the latest LLM and embedding techniques with traditional machine learning, while having ownership of models that make it into production.
What you’ll be working on:
- Building and improving matching and recommendation models
- Candidate-to-job matching, ranking and internal mobility recommendations
- Working with LLMs, Transformers and embedding models
- Designing evaluation frameworks, golden datasets and quality metrics
- Running experiments using human feedback and LLM-as-a-judge
- Writing high-quality Python and using AI coding agents as part of your workflow
- Working closely with Product and Engineering to bring research into real customer-facing features
What they're looking for:
- 3+ years' experience in Data Science / Machine Learning
- Strong experience with recommender systems, search, ranking or matching
- Understanding of learning-to-rank, scoring models, gradient boosted trees and embeddingsI think the list is truncated. The data. We can't proceed. |
Data Scientist in City of London employer: Orbis Group
Orbis Group is an exceptional employer, offering a dynamic work environment in London where innovation meets security. As a Cloud & AI Security Engineer, you will not only enhance your technical skills but also have the opportunity to shape the future of security strategies within a collaborative team. With a strong focus on employee growth and a culture that values creativity and initiative, Orbis Group stands out as a place where your contributions truly matter.
