Production Data Scientist, AI Infra & Optimization

CoreWeave; Greater London; On-site; GBP 90,000 - 170,000; Full time

Benefits offered by this job

Family‑level Medical Insurance

Family‑level Dental Insurance

Generous Pension Contribution

Life Assurance at 4x Salary

Critical Illness Cover

Employee Assistance Programme

Tuition Reimbursement

Work culture focused on innovative dis

Job summary

CoreWeave is building an ambitious data science platform in the Monolith Data Science team, embedding advanced statistical models into production to improve cluster reliability and cost efficiency. This role sits at the intersection of data science and production systems in a fast-paced AI infrastructure environment.

You will deploy models, analyze telemetry, run experiments, and collaborate with engineering to optimize GPU utilization and scheduling, delivering measurable improvements in

Qualifications

• MS or PhD in Computer Science, Statistics, Applied Mathematics, ML or related field.
• 8+ years applying statistical modeling or ML to large-scale data.
• Strong Python proficiency and computing libraries.

Responsibilities

• Deploy statistical models and ML methods within production environments.
• Collaborate with engineering to optimize GPU utilization and system efficiency in real time.
• Design experiments and analyze large-scale telemetry data to improve performance and costs.

Skills

Python

Statistical modeling

Experiment design

A/B testing

Production ML

Optimization techniques

Time-series analysis

Cross-functional collaboration

Education

MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field

Tools

Spark

Ray

Dask

SQL

PyTorch or TensorFlow

NumPy/Pandas

Job description

CoreWeave is building an ambitious data science platform in the Monolith Data Science team, embedding advanced statistical models into production to improve cluster reliability and cost efficiency. This role sits at the intersection of data science and production systems in a fast-paced AI infrastructure environment.

You will deploy models, analyze telemetry, run experiments, and collaborate with engineering to optimize GPU utilization and scheduling, delivering measurable improvements in