27 jobs in CoreWeave

CoreWeave is looking for a Senior Data Scientist in Greater London to lead the development of advanced machine learning solutions in the Physical AI space. In this high-impact role, you will collaborate with diverse teams to convert ML research into production-ready systems while ensuring delivery aligns with business objectives.

Successful candidates will have at least 5 years of data science experience, strong software skills in Python, and experience in deploying ML systems in production environments. CoreWeave offers comprehensive benefits including family-level medical and dental insurance, pension contributions, and a competitive salary range of £98,000 to £130,000.

What You’ll Do:

CoreWeave’s Monolith team is building the essential cloud platform for AI innovators, applying machine learning to solve intractable physics and engineering challenges. We operate at the intersection of advanced cloud infrastructure and applied data science, transforming how complex industrial products—such as automotive systems, aircraft, and advanced batteries—are conceived, tested, and developed.

As a Senior Data Scientist, you will take end-to-end ownership of complex machine learning problems across the Physical AI space. This is a high-impact role for someone with a strong technical foundation and a generalist mindset who can move from problem framing and experimentation through deployment and ongoing support.

You will work closely with engineering, product, and client-facing teams to turn advanced ML methods into production-ready solutions that can be trusted in real customer environments. The role blends research depth with practical delivery, and requires someone who can align stakeholders, surface risks and limitations, and communicate technical decisions clearly.

• 5+ years of experience in data science, machine learning, or applied AI, with evidence of delivering high-impact production ML systems.
• Strong software engineering skills in Python, with extensive experience using scientific computing and ML libraries such as NumPy, pandas, SciPy, scikit-learn, PyTorch, or TensorFlow.
• Experience deploying and supporting ML systems in production, including cloud-based environments.
• Strong grounding in statistical modelling, machine learning experimentation, and evaluation.
• Experience working with time-series, high-dimensional, or imperfect real-world datasets.
• Strong technical curiosity and a habit of keeping up with current ML and AI research.
• Comfortable working cross-functionally with engineering, product, and customer-facing teams, and able to explain technical decisions clearly to different audiences.

• Background in engineering, physics, chemistry, or another STEM discipline connected to complex physical systems.
• Experience with anomaly detection, optimisation, reliability-focused modelling, or related approaches in industrial settings.
• Experience building or experimenting with agents or autonomous systems.
• Familiarity with MLOps, model monitoring, and efficient compute practices.
• Experience working with sparse, noisy, or imperfect real-world data from labs, heavy industry, or other applied environments.
• Track record of collaborating closely with deployed or client-facing teams to bring advanced methods into operational use.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• 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 disruption

Benefits may vary by location.

Salary range: £98,000 to £130,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

What You'll Do

The Data Centre Technician ensures overall availability and reliability of data centre operations, performing hardware and network diagnostics, physical repair, and maintenance to meet defined service levels. Responsibilities include root cause analysis of failures, training internal teams, and developing documentation or scripts for server and networking hardware. The role requires rapid response to on‑site equipment failures within 60 minutes and periodic travel up to 10% of the time.

• Computer Hardware experience, including troubleshooting and assembling.
• Linux Operating System experience.
• Ability to transport and position equipment weighing up to 50 lbs.
• Ability to operate in cramped or elevated spaces.
• Technical fine‑motor skill for handling small components and cables.
• Flexible schedule and willingness for a rotating 24/7 on‑call shift.
• Excellent time‑management, organisational, and communication skills.
• Physical endurance in temperatures ranging from 60°F to 90°F.

• Experience with Computer Networking.
• Proficiency with Python, Bash, or other scripting languages.
• Experience with Cisco IOS and/or Juniper JunOS.
• An Associate's Degree or equivalent IT‑related experience.

• Enjoy solving complex technical problems through hands‑on repair.
• Curious about root cause analysis and data centre reliability.
• Expert in hardware diagnostics and critical infrastructure maintenance.

• Family‑level Medical Insurance
• Family‑level Dental Insurance
• Generous Pension Contribution
• Life Assurance at 4× Salary
• Critical Illness Cover
• Employee Assistance Programme
• Tuition Reimbursement
• Work culture focused on innovative disruption

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

This position requires compliance with U.S. export regulations. Eligible U.S. persons or those who can access export‑controlled information without licensing may apply.

CoreWeave is seeking a Data Centre Technician in Greater London to ensure the reliability of data centre operations. The technician will navigate equipment failures, perform diagnostics, and maintain hardware.

Candidates should have computer hardware and Linux experience, along with the ability to handle physical tasks in variable temperatures. Additional benefits include family-level medical and dental insurance, pension contributions, and tuition reimbursement.

CoreWeave is seeking a Senior Researcher to join the Monolith Research team. This role focuses on leveraging deep technical expertise in machine learning and statistical modeling to enhance GPU infrastructure reliability and performance. The ideal candidate will have over 8 years of experience, a proven track record in research, and a passion for developing innovative solutions in a collaborative environment.

In addition to a competitive salary, CoreWeave offers excellent family-level medical and dental insurance, a robust pension plan, and a work culture that prioritizes innovation.

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

We’re proud to be a Living Wage accredited Employer.

We are looking for a Senior Researcher to join Monolith’s Research team, now part of CoreWeave. This is a high-impact, high-ownership role for a researcher who combines deep technical expertise in machine learning, statistical modelling, optimisation, and large-scale systems data with the ability to take complex, ambiguous problems from first principles through to production.

The Monolith Data Science team is building a layered reliability and intelligence platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, performance modelling, workload optimisation, and agentic root‑cause analysis.

You will work closely with Fleet, Infrastructure, AI Platform, engineering, product, and client‑facing teams to improve cluster reliability, increase effective utilisation, reduce MTTR, protect uptime, and turn large‑scale GPU infrastructure telemetry into measurable operational and commercial impact.

Research Leadership & Strategy

• Contribute meaningfully to Monolith and CoreWeave’s research direction by identifying high‑leverage problems in GPU infrastructure analytics, cluster reliability, workload performance, scheduling, and utilisation.
• Originate novel research directions for turning raw infrastructure telemetry into actionable intelligence, rather than simply applying standard machine learning or data science techniques.
• Evaluate emerging methods across statistical modelling, machine learning, observability, optimisation, simulation, reinforcement learning, anomaly detection, and autonomous diagnostics, providing well‑grounded technical judgement on which approaches are most likely to create real‑world impact.
• Champion rigour, reproducibility, and scientific integrity across research outputs, experiments, prototypes, and production validation.
• Help establish a research foundation for understanding how large‑scale GPU systems behave, why workloads underperform, where bottlenecks emerge, and how reliability can be improved proactively.

Technical Depth & Execution

• Lead the design and development of sophisticated statistical, machine learning, and optimisation systems for large‑scale GPU infrastructure telemetry, including compute, networking, storage, workload, and distributed systems data.
• Develop advanced models and methodologies to optimise GPU utilisation, workload scheduling, infrastructure efficiency, and system reliability.
• Build models and methods for anomaly detection, failure prediction, distributed straggler detection, degraded workload identification, bottleneck diagnosis, and agentic root‑cause analysis.
• Design experiments, analyse large‑scale system telemetry, and prototype predictive and optimisation algorithms that directly inform production systems.
• Drive technical decisions on difficult modelling problems involving noisy time‑series data, high‑dimensional telemetry, causal inference, uncertainty, robustness, generalisation, and out‑of‑distribution behaviour.
• Explore simulation, digital‑twin, reinforcement learning, and adaptive scheduling approaches where they can improve understanding or optimisation of GPU clusters and distributed training environments.
• Take end‑to‑end ownership of research work from problem framing and exploratory analysis through prototype development, validation, and collaboration with engineering teams on production deployment.
• Maintain deep personal technical expertise; remain a hands‑on contributor in Python and modern scientific computing / machine learning tooling.

Organisational Influence & Collaboration

• Serve as a strong technical voice within the research organisation, helping shape how Monolith approaches complex infrastructure intelligence problems.
• Work closely with Fleet, Infrastructure, AI Platform, engineering, product, and customer‑facing teams to ensure research work lands with real operational and commercial impact.
• Translate research findings into production‑ready prototypes, deployable solutions, and technical recommendations that improve performance, reliability, utilisation, and cost efficiency.
• Contribute to research practices and norms that improve how the team handles ambiguous, high‑dimensional, real‑world systems problems.
• Communicate complex technical work and its implications clearly to a range of audiences, from close technical collaborators to senior leadership and external stakeholders.
• Help build a shared understanding of how large‑scale AI infrastructure behaves, where it fails, and how it can be made more reliable, efficient, and intelligent.

• Applied machine learning for GPU infrastructure and distributed systems
• Large‑scale telemetry ingestion, feature engineering, and infrastructure analytics
• GPU cluster reliability, utilisation, observability, and performance analysis
• Anomaly detection, degradation detection, and failure prediction
• Distributed straggler detection and workload performance diagnosis
• Agentic root‑cause analysis and autonomous diagnostic systems
• Time‑series, high‑dimensional, structured, and operational systems data
• Performance modelling for distributed workloads and AI training jobs
• Workload scheduling, capacity planning, forecasting, and resource allocation modelling
• Optimisation techniques including stochastic optimisation, convex optimisation, reinforcement learning, and adaptive scheduling
• Simulation and digital‑twin approaches for complex infrastructure systems
• Causal inference, controlled experiments, hypothesis testing, and statistical validation
• End‑to‑end research systems: data pipelines, prototypes, validation, deployment, and monitoring

• 8+ years of experience, or equivalent research experience, applying statistical modelling, machine learning, optimisation, or applied AI to large‑scale datasets.
• MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, Physics, Engineering, or a related quantitative field.
• Strong proficiency in Python and scientific computing libraries such as NumPy, pandas, SciPy, scikit‑learn, PyTorch, or TensorFlow.
• Experience working with large‑scale structured datasets, time‑series data, infrastructure telemetry, performance data, sensor data, or other complex operational data.
• Experience designing and analysing controlled experiments, including A/B testing, hypothesis testing, causal inference, or rigorous model validation.
• Experience building and validating predictive models in production or research environments.
• Experience with distributed data systems such as Spark, Ray, Dask, or similar.
• Proficiency in SQL and working with large‑scale structured data.
• Strong understanding of optimisation techniques such as linear programming, convex optimisation, stochastic optimisation, reinforcement learning, or adaptive scheduling.
• Demonstrated ability to solve ambiguous technical problems where the right approach is not already known.
• Ability to translate research findings into production‑ready prototypes, deployable workflows, or operational tooling.
• Strong scientific judgement, including experimental design, reproducibility, validation, and awareness of uncertainty.
• The ability to communicate clearly and influence across research, engineering, product, infrastructure, and leadership audiences.

• PhD with published research in systems optimisation, distributed computing, ML systems, performance modelling, reliability engineering, scientific computing, or a related area.
• Experience with GPU workloads, distributed training, AI infrastructure, HPC, or large‑scale compute environments.
• Familiarity with Kubernetes, containerised workloads, cloud‑native systems, or distributed infrastructure.
• Experience developing reinforcement learning, adaptive scheduling, autonomous diagnostics, or agentic systems.
• Background in capacity planning, forecasting, resource allocation modelling, or infrastructure efficiency.
• Experience with observability, hardware telemetry, performance monitoring, root cause analysis, or failure prediction.
• Contributions to open‑source machine learning, systems, infrastructure, or scientific computing projects.

• 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 disruption

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

CoreWeave in Greater London is searching for a Senior Global Supply Chain Manager – EMEA responsible for developing and executing end-to-end supply chain strategies. This role involves procurement support, logistics coordination, and managing supplier performance in a rapidly growing international portfolio.

The successful candidate must possess extensive experience in global supply chain management and strong leadership skills, ensuring smooth operations across multiple regions. Competitive benefits and health insurance will be provided.

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

We’re proud to be a Living Wage accredited Employer.

The Senior Global Supply Chain Manager – EMEA is responsible for developing and executing end-to-end supply chain strategies that optimise cost, service, risk, and sustainability across CoreWeave’s international operations. This is a varied, hands‑on role spanning procurement support, logistics coordination, inventory management, and supplier performance across a rapidly growing international portfolio. The ideal candidate is a strategic thinker with deep operational expertise, strong cross‑functional leadership, and the ability to navigate country‑specific regulations, customs requirements, and trade compliance across diverse international markets.

• Lead the design and execution of supply chain strategies to meet business objectives and customer requirements across EMEA.
• Support global procurement and sourcing operations, ensuring cost‑effective and reliable material supply across regions.
• Establish and manage KPIs to measure supply chain performance, risk, and cost efficiency.
• Develop risk mitigation strategies, including supply chain diversification, dual sourcing, and business continuity planning.

• Partner with the logistics team to ensure smooth international movements, bringing knowledge of country‑specific customs rules, VAT regimes, import requirements, and incoterms to each shipment.
• Ensure correct incoterms are applied to protect CoreWeave from unnecessary VAT and import duty exposure.
• Monitor inbound and outbound shipment movements, partnering closely with Data Centre teams to align on delivery scheduling and factor site‑specific challenges into supply chain planning.

• Oversee inventory management across EMEA, including safety stock, surplus materials, and site transfers.
• Manage and support supplier and logistics provider relationships, driving performance, accountability, and continuous improvement.
• Track material availability against build timelines, proactively identifying and escalating risks to senior leadership.

• Serve as the regional supply chain point of contact across engineering, IT, facilities, finance, legal, and global operations.
• Partner with VAT and finance teams on the correct setup of new international locations, ensuring the right entity structures and tax positions are in place before goods move.
• Engage with the Capacity team to stay ahead of product mix and deployment model changes, and with DC Operations to co‑ordinate delivery timing against site readiness.
• Lead cross‑functional initiatives in logistics optimisation, supply continuity, sustainability, and digital transformation.

• Identify process gaps and drive improvements across documentation standards, ownership matrices, and escalation SLAs.
• Support the evaluation of tools and reporting solutions for shipment visibility and supply chain analytics.

• Bachelor’s degree in Supply Chain Management, Business, Engineering, or related field (Master’s preferred).
• 10+ years of progressive experience in global supply chain management, including leadership roles.
• Strong knowledge of procurement, logistics, demand planning, and supply chain analytics.
• Experience in multi‑regional operations with global suppliers and logistics providers.
• Solid understanding of international trade compliance, customs clearance, incoterms, and VAT/duty implications.
• Proficiency in ERP systems (e.g., SAP, Oracle, NetSuite) and supply chain planning tools.
• Excellent negotiation, communication, and stakeholder management skills.
• APICS, ISM, CIPS, or Six Sigma certifications a plus.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Family‑level Medical Insurance
• Family‑level Dental Insurance
• Generous Pension Contribution
• Life Assurance at 4x Salary
• Critical Illness Cover

To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results.

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Benefits may vary by location.

CoreWeave is looking for a Senior Manager, Specialist Field Engineering, to lead a regional Solutions Architecture team in Greater London. This role involves defining go-to-market strategies and collaborating closely with various departments to establish CoreWeave as a market leader in AI solutions.

The ideal candidate will have extensive experience in Kubernetes and infrastructure engineering, with a strong ability to guide teams towards performance excellence. Benefits include comprehensive medical insurance, generous pension contributions, and a competitive salary ranging from £116,000 to £155,000.