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Overview
Job title: Senior Machine Learning Scientist
Job type: Permanent
Role Location: London (Hybrid)
The company:
An innovative, global tech-driven marketplace, connecting millions of users and powered by cutting-edge data and engineering. The company values diversity, sustainability, and community while driving forward new approaches to technology and customer experience.
Role and responsibilities
- Design, build, and scale core ML models for applications such as product matching, content understanding, moderation, and personalisation.
- Lead high-impact technical projects, set modelling direction, and mentor junior team members.
- Collaborate with product managers, engineers, and other scientists across the business.
- Conduct large-scale experiments and A/B tests with statistical rigour.
- Stay up to date with ML research, contribute to knowledge sharing, and help shape long-term strategy.
- Communicate complex technical concepts to both technical and non-technical audiences.
Job requirements
- Proven track record as a Machine Learning Scientist delivering models into production.
- Expertise with frameworks such as PyTorch, TensorFlow, or Transformers.
- Strong Python skills with clean, production-ready coding practices.
- Solid knowledge of data engineering and MLOps principles.
- Ability to lead end-to-end ML projects and mentor colleagues.
- Excellent communication and collaboration skills.
Bonus skills (not essential)
- Experience with NLP, image classifiers, deep learning, or large language models.
- Familiarity with A/B testing and experiment design.
- Experience building shared ML systems or platforms.
- Knowledge of Databricks, PySpark, and cloud platforms (AWS/GCP/Azure).
- Flexible hybrid working model.
- Private medical insurance, healthcare cash plan, subsidised counselling/coaching, Employee Assistance Programme, and Mental Health First Aiders.
- Family Support: 18 weeks paid parental leave, plus IVF, shared parental, and emergency carer leave.
- Learning & Growth: Conference and learning budgets, mentorship, and upskilling programmes.
If you'd like to find out more, don't hesitate to apply! Even if you don't tick every box!
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