Senior MLOps Engineer — GPU AI Reliability

Coreweaveu; Greater London; Hybrid; GBP 105,000 - 158,000; 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

Note: benefits may vary by location

Job summary

CoreWeave, a leading AI cloud provider, seeks a Senior Data & MLOps Engineer to design and scale the GPU Intelligence Platform. You will build pipelines for data, features, model training, and deliver insights for system health and optimization across the fleet.

You will deploy scalable microservices in Kubernetes, ensure real-time and offline workloads separation, and drive monitoring, drift detection, and reliability at scale in a fast-paced, innovative environment.

Qualifications

• 7+ years of experience in data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments.
• Proven experience building high-throughput streaming or telemetry pipelines (Kafka, Pulsar, Kinesis).
• Strong experience designing time-series feature pipelines and operating large-scale observability systems.
• Experience building and maintaining feature stores and ensuring offline/online feature parity.
• Hands-on experience deploying ML models to production, including versioning, monitoring, rollback, and drift detection.

Responsibilities

• Design and implement scalable data ingestion pipelines.
• Build feature processing and baseline computation systems.
• Productionize models for prediction and detection.
• Develop and operate low-latency service and robust offline workflows.
• Architect horizontally scalable services with clear separation between components, leveraging orchestration for distribution.
• Implement monitoring and feedback loops for continuous model and signal improvement.
• Collaborate with Platform teams to integrate operational signals into monitoring and diagnostics.
• Implement a scalable solution for mitigation and structured analysis.

Skills

Data engineering

MLOps

Distributed systems

Kubernetes

Python

Go/Rust/C++

GPU telemetry

Model deployment

Telemetry pipelines

Tools

Kafka

Pulsar

Kinesis

Job description

CoreWeave, a leading AI cloud provider, seeks a Senior Data & MLOps Engineer to design and scale the GPU Intelligence Platform. You will build pipelines for data, features, model training, and deliver insights for system health and optimization across the fleet.

You will deploy scalable microservices in Kubernetes, ensure real-time and offline workloads separation, and drive monitoring, drift detection, and reliability at scale in a fast-paced, innovative environment.