Talent Partner, Engineering (Contract)
CoreWeave Europe
| Company | CoreWeave Europe |
| Category | Engineering |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 18 Jun 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .
We're proud to be a Living Wage accredited Employer.
What You’ll Do
You’ll join CoreWeave’s Talent Acquisition team on a fixed-term basis, supporting Engineering hiring across EMEA with a particular focus on Monolith, CoreWeave’s Physical AI and industrial optimisation platform.
In this role, you’ll partner with hiring managers across Engineering teams to help identify, engage, and hire technical talent for roles spanning software engineering, data engineering, data science, product engineering, platform, infrastructure, and customer-facing technical delivery. You’ll support teams building products at the intersection of AI, simulation, operational data, and real-world industrial systems.
About the role
This Recruiter will support full-cycle hiring across a range of engineering and technical roles, with a primary focus on hiring in EMEA. Day to day, you’ll work with hiring managers to understand role requirements, build targeted sourcing strategies, identify relevant talent pools, and manage candidates through the recruitment process from outreach through to offer.
You’ll be operating in a fast-moving environment where priorities can shift quickly, so the ability to stay organised, communicate clearly, and maintain momentum across multiple searches will be important. This role would suit someone who enjoys hands-on sourcing, candidate engagement, hiring manager partnership, and building pipelines for technical roles that may not always have obvious talent pools.
The work will involve proactive sourcing, market mapping, screening, interview process management, stakeholder updates, and offer support. You’ll be expected to bring strong recruiting fundamentals, curiosity about technical hiring, and the ability to quickly build context in complex engineering domains.
Who You Are
4+ years of recruiting experience, including experience hiring for technical or engineering roles
Experience supporting hiring across EMEA markets, ideally including the UK and/or broader Europe
Comfortable recruiting for software engineering, data engineering, data science, infrastructure, platform, product engineering, or customer-facing technical roles
Able to manage multiple concurrent searches while maintaining candidate quality, process discipline, and clear stakeholder communication
Strong sourcing capability using LinkedIn Recruiter, Boolean search, market mapping, and other direct sourcing methods
Confident supporting full-cycle recruitment processes, including intake, calibration, sourcing, screening, interview management, offer support, and closing
Comfortable working with hiring managers to clarify requirements and translate technical needs into practical sourcing strategies
Familiarity with ATS systems such as Greenhouse
Good understanding of EMEA hiring practices and candidate expectations
Preferred
Experience recruiting in AI, cloud infrastructure, data platforms, industrial software, robotics, simulation, or distributed systems environments
Exposure to hiring for teams working with Python, data platforms, Kubernetes, large-scale infrastructure, machine learning, or complex production systems
Experience supporting hiring in high-growth or scaling technology companies
Interest in how AI is being applied to real-world engineering, industrial, automotive, manufacturing, or physical systems challenges
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