about 4 hours ago
London, United Kingdom
Senior
Responsibilities
- Own the full ML lifecycle, leading the design and production of machine learning models.
- Build robust monitoring and evaluation frameworks for model performance.
- Collaborate with product managers to develop scalable ML solutions.
- Provide technical leadership and set standards for ML quality and reliability.
- Work with data scientists and engineers to integrate models into scalable systems.
Requirements
- Significant experience as an ML Engineer or Data Scientist with high-quality production code in Python.
- Proven experience in productionising Generative AI workstreams and understanding of LLMs.
- Ability to deploy and manage models using tools like Docker, Kubernetes, and CircleCI.
- Strong foundational knowledge of traditional ML and evaluation techniques.
- Collaborative mindset with experience mentoring peers.
Benefits
- Solve meaningful problems at scale in a complex marketplace.
- Fast impact with a low-hierarchy, high-ownership environment.
- Opportunities for career growth through challenge and ownership.
- A culture built for builders with high standards and continuous learning.
- Competitive salary and equity options.
Tech Stack
CircleCIDockerGoKubernetesPython
Categories
AI & MLData Science