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).

Benefits:

• 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!