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Machine Learning Engineer
Machine learningRemote — United Kingdom, Poland, Portugal, France, Spain, Germany, Italy
Published on 2026-10-07
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Build and operate AI/ML products for ClickHouse, including AI-powered features, inference services, and ecosystem integrations. Own ML pipelines from data and training through evaluation, and integrate models into production with monitoring and observability.
About the company
ClickHouse is a high-performance columnar database built for real-time analytics on large volumes of data.
The team
AI/ML Engineering team
Stack
PythonJupyterPyTorchRaySlurmvector databasesAWSAzure
What you'll do
- Build AI-powered features across backend services and frontend interfaces.
- Design scalable APIs connecting ClickHouse with AI/ML inference systems.
- Integrate and maintain connections to AI/ML frameworks, tools, and standards.
- Deploy models with monitoring, versioning, observability, and evaluation.
- Own ML pipelines across data, training, and evaluation; fine-tune or train models when needed.
- Participate in the daytime on-call rotation.
What we're looking for
- 5+ years of software engineering experience in production environments.
- Experience working directly with AI/ML technologies and deploying models in production.
- Experience with inference APIs and vector databases.
- Applied ML experience in Python, including Jupyter, PyTorch, and common ML libraries.
- Hands-on experience with compute clusters such as Ray or Slurm.
- Ability to own features from concept to production and communicate effectively with diverse stakeholders.
Nice to have
- Familiarity with AWS, Azure, or GCP, especially AI/ML deployment services.
- Understanding of database systems and data-processing pipelines; ClickHouse experience is a plus.
- Experience with embedding-based retrieval, ranking, or recommender systems.
Benefits
- Company stock options.
- Flexible time off, with generous entitlement outside the US.
- Employer contributions toward healthcare.
- USD $500 home-office setup allowance for remote employees.
- Opportunities to attend company-wide offsites.