or apply directly on CoreWeave Europe's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 54 days CoreWeave Europe's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 0% of CoreWeave Europe's roles list one
- Ghost-job risk at CoreWeave Europe
- high 61 stale, 2 reposted of 77 open
- Hiring momentum
- 91 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-27
Measured from postings appearing on and disappearing from CoreWeave Europe's own greenhouse board since 2026-08-03. Full hiring picture for CoreWeave Europe.
About this role
As a Senior Data & MLOps Engineer at CoreWeave, you will design and scale the infrastructure for the GPU Intelligence Platform, focusing on building data ingestion pipelines, feature processing systems, and productionizing ML models. Your role involves transitioning systems from prototypes to production, ensuring scalability and efficient resource management, while collaborating with various internal teams to enhance system stability and performance.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of CoreWeave Europe as an employer.
What you need
- 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 (e.g., Kafka, Pulsar, Kinesis, or equivalent)
- 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
- Experience designing scalable microservices deployed in Kubernetes-based environments
Nice to have
- Experience working on GPU fleet management, hyperscale infrastructure, or AI training clusters
- Experience building anomaly detection or failure prediction systems for hardware or distributed systems
- Experience implementing distributed straggler detection or collective-level performance analysis systems
- Experience developing agentic or LLM-powered reasoning systems for diagnostics or operational intelligence
- Background in reliability engineering or SRE practices
What you get
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
Worth weighing
- No specific salary listed, only that it will be determined by knowledge and experience
- Role involves transitioning systems from prototypes to production, which may imply initial instability
- Focus on GPU and distributed systems may require specialized knowledge
- Company is in a hyper-growth phase, which can be both an opportunity and a challenge
Summarised from CoreWeave Europe's posting. Read the full original.
Listed by CoreWeave Europe on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.
More roles at CoreWeave Europe
- Technical Solutions ManagerLondon, UK
- Data Center Technician - Glasgow, ScotlandGlasgow, Scotland
- Data Center Manager - Blonduos, IcelandEurope
- Senior Security Operations Engineer IIWarsaw, Poland
- Senior Production EngineerWarsaw, Poland
- SDRLondon England
- Regional Director, Revenue OperationsLondon, England
- Senior Manager, Field EngineeringLondon, UK