Machine Learning Researcher

1001
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Sound judgment","Rigorous implementation"]

Build production-ready machine learning models that power an optimizer and adjacent systems for high-stakes operational environments. Lead applied research on reinforcement learning-guided optimization, world models, and simulation-driven learning, then design, train, and validate models that engineering can ship. Stay close to frontier research and translate it into practical artifacts with production impact, implementing the work end-to-end for a small applied team.

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FursaFursa
1001
1001
1 month ago

Machine Learning Researcher

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build production-ready machine learning models that power an optimizer and adjacent systems for high-stakes operational environments. Lead applied research on reinforcement learning-guided optimization, world models, and simulation-driven learning, then design, train, and validate models that engineering can ship. Stay close to frontier research and translate it into practical artifacts with production impact, implementing the work end-to-end for a small applied team.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, train, and validate machine learning models that power the optimizer and adjacent systems.
  • •Lead research on reinforcement learning-guided optimization, world models, and simulation-driven learning for the company’s use cases.
  • •Own research threads from initial idea through validated models that the engineering team can ship.
  • •Bring frontier techniques from the literature into a production stack.
  • •Implement work directly and turn research outcomes into production-ready artifacts engineering can ship.

Key Requirements

  • •First-author publications at top venues such as NeurIPS, ICML, ICLR, AAAI, or JMLR (or an equivalent research record).
  • •A research record rigorous enough for a small applied team to build on directly.
  • •Ability to implement your own research and ship working code, not just papers.
  • •Genuine interest in applied industrial and physical-world problems where production impact defines success.
  • •Fluency with current literature and sound judgment about which techniques to bring into production.
Experience:Applied researchReinforcement learningSimulation-driven learningIndustrial problemsPhysical-world problemsOperations research
Skills:Sound judgmentRigorous implementation
Tech Stack:Machine learningReinforcement learningWorld modelsSimulation-driven learningModel-based planningOperations researchReinforcement learning-guided optimization

Company Brief

1001
1001 AI builds AI-powered operational intelligence for complex, data-heavy industries like aviation, ports, energy, and construction. Its platform unifies operational data to predict delays, manage risk, and optimize performance across critical infrastructure and megaproject environments.
Industry: AI & Machine Learning
Company Size: Micro (1 to 10 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: London, United Kingdom
WebsiteLinkedIn