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CoreWeave

Rents GPU cloud computing for AI developers

Senior Applied Researcher

Applied Machine LearningUpdated on Nov 13
Full-timeLondon, UKIn-person

About the Job

Requirements

  • At least 5 years of experience in data science, machine learning, or applied artificial intelligence, with evidence of delivering high-impact production machine-learning systems.
  • Strong software engineering skills in Python and extensive experience with scientific-computing and machine-learning libraries such as NumPy, pandas, SciPy, scikit-learn, PyTorch, or TensorFlow.
  • Experience deploying and supporting machine-learning 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 machine-learning and artificial-intelligence research.
  • Ability to work cross-functionally with engineering, product, and customer-facing teams, and to explain technical decisions clearly to different audiences.

Responsibilities

  • Take end-to-end ownership of complex machine-learning problems across the Physical AI space, from problem framing and experimentation through deployment and ongoing support.
  • Work closely with engineering, product, and client-facing teams to turn advanced machine-learning methods into production-ready solutions for real customer environments.
  • Align stakeholders, surface risks and limitations, and communicate technical decisions clearly.

Desired Qualifications

  • 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 laboratories, heavy industry, or other applied environments.
  • Track record of collaborating closely with deployed or client-facing teams to bring advanced methods into operational use.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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