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Research Engineer

LanceSoft UKlondon, london🇬🇧United KingdomPosted 14 Sept 2026

Why This Role Stands Out

This hybrid Research Engineer role offers a fantastic opportunity to contribute to cutting-edge AI and LLM research within a reputable company, fostering significant career growth and skill development. You'll thrive here if you have a strong background in machine learning and a passion for developing advanced AI models, so seize this chance to apply and make a real impact.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
london, london, United Kingdom

Job Description

Research Engineer

Location: London - Hybrid role- 3 days onsite

12 months contract


Minimum Qualifications

  • 4+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
  • Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training.
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch.
  • Experience writing software and executing complex experiments involving large AI models and datasets.


Preferred Qualifications

  • Direct experience in generative AI and LLM research
  • PhD degree or research focused Master degree in ML areas


Minimum Requirement:

  • A bachelor’s degree in computer science or a relevant technical field is required.
  • Preferred Qualifications: A PhD or a research-focused master’s degree in a relevant area (such as AI or machine learning) is listed as a preferred qualification.
  • Flexibility: The team is open to hiring candidates who are currently completing their PhDs, provided they can work the required hours

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