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Principal Researcher

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: CoreWeave
Full Time position
Listed on 2026-03-05
Job specializations:
  • Research/Development
    Research Scientist
  • Engineering
    Research Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave 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, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

Learn more at

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

Role Overview

We are looking for a Principal Researcher to join Monolith’s Research team. This is a high-impact, high-ownership role for a researcher who combines deep technical expertise with the ability to lead complex, multi-stakeholder projects from first principles through to production.

You will be among the most senior technical voices in the organisation, contributing to research direction, establishing high standards through your own work, and providing meaningful technical guidance across the team – while remaining a hands‑on contributor to the most challenging and consequential projects.

You will work closely with engineering, product, and client‑facing teams, driving cross‑functional alignment on complex research initiatives in collaboration with some of the world’s most advanced engineering R&D organisations. The role demands rigorous scientific thinking, strong execution, and the interpersonal credibility to bring diverse stakeholders along.

What You’ll Do Research Leadership & Strategy
  • Contribute meaningfully to Monolith’s research direction by identifying high‑leverage open problems and advocating for the approaches most likely to have real‑world impact.
  • Originate novel research directions — not just applying the state of the art, but advancing it in ways that are meaningful for real‑world engineering applications.
  • Evaluate emerging fields and paradigms, providing well‑grounded technical judgement on which advances are worth pursuing and why.
  • Champion rigour, reproducibility, and scientific integrity across all research outputs.
  • Represent Monolith in the external research community through publications, conference contributions, and engagement with leading academics and industry researchers.
Technical Depth & Execution
  • Lead the design and development of sophisticated ML systems for complex, high‑dimensional engineering data, taking end‑to‑end ownership from problem framing through production deployment.
  • Drive technical decisions on the most difficult modelling problems, including novel approaches to generalisation, uncertainty, robustness, and out‑of‑distribution performance.
  • Orchestrate the delivery of large, cross‑functional research projects — aligning engineering, product, and research contributors around clear technical goals and milestones.
  • Advance Monolith’s capabilities in agentic and autonomous ML systems, from foundational design through to deployment at scale.
  • Maintain deep personal technical expertise; remain a hands‑on contributor to the most critical and novel technical work.
Organisational Influence & Mentorship
  • Serve as one of the most senior technical voices in the research organisation, providing guidance and review on significant technical decisions and helping shape team‑wide standards.
  • Mentor and develop senior researchers, sharing experience and raising technical quality across the team.
  • Contribute to research practices and norms that improve how Monolith approaches complex problems consistently and rigorously.
  • Build strong cross‑functional relationships with engineering, product, and client‑facing teams to ensure research work lands with real impact.
  • Communicate technical work and its implications clearly to a range of audiences, from close collaborators to senior leadership and external partners.
Technical Focus
  • Foundational and applied machine learning for engineering and physical systems
  • Generalisation, robustness, and out‑of‑distribution performance in real‑world ML
  • Probabilistic modelling, uncertainty quantification, and calibration
  • Time‑series, high‑dimensional, and structured scientific data
  • Agentic and…
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