Machine Learning Engineer
Salary not listed • United Kingdom • Full-time
Posted 24d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
ClickHouse is a fast-growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating ClickHouse's AI and machine learning products end-to-end. This includes developing features for the ClickHouse Cloud platform, creating scalable APIs for AI/ML inference, and integrating with the broader AI/ML ecosystem. The team is looking for experienced software engineers to design, build, and operate products that position ClickHouse as a leading platform for agents and data scientists.
Responsibilities
- Design and implement AI-powered features across the full stack, from backend inference services to frontend interfaces.
- Create robust, scalable APIs connecting database capabilities with AI/ML inference systems and external/internal AI services.
- Implement and maintain integrations with the broader AI/ML ecosystem and standards.
- Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Participate in the daytime oncall rotation.
- Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models.
- Track the state of the art to apply genuine product improvements.
Requirements
- 5+ years of software engineering experience in production environments.
- Exposure to working directly with AI/ML technologies.
- Experience integrating and deploying AI/ML models in production systems, including inference APIs and vector databases.
- High level of ownership and ability to drive features from concept to production with minimal supervision.
- Ability to thrive in collaborative environments and effectively communicate technical concepts.
- Applied ML experience in Python (Jupyter, PyTorch, common ML libraries).
- Hands-on experience with compute clusters (Ray, Slurm).
- Experience designing trustworthy experiments to drive architectural decisions.
Benefits
- Employer contributions towards healthcare.
- Stock options.
- Flexible time off.
- A USD$500 Home office setup for remote employees.