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Machine Learning Researcher

Understanding Recruitment

United Kingdom

Remote

GBP 70,000 - 85,000

Full time

9 days ago

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Job summary

An innovative startup is on the lookout for a Machine Learning Researcher specializing in NLP and LLMs. This role offers the chance to work on cutting-edge technology that is reshaping the financial landscape. You will lead research initiatives, collaborate with talented engineers and data scientists, and contribute to impactful publications. The company promotes a culture of mentorship and collaboration, making it an exciting opportunity for professionals eager to make a difference in FinTech. Join this forward-thinking team and help build AI-driven solutions that modernize financial infrastructure!

Qualifications

  • Experience in NLP research with a focus on LLMs.
  • Ability to mentor junior team members and contribute to publications.

Responsibilities

  • Lead NLP research, focusing on LLMs and code understanding.
  • Run experiments and build internal benchmarks.
  • Collaborate with engineers and data scientists.

Skills

NLP
LLMs
Machine Learning
Research
Collaboration

Job description

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Understanding Recruitment provided pay range

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Building world-class AI & SW teams across the US & UK | EDIB Advocate | Supporting tech teams to solve real-world problems!

Machine Learning Researcher (NLP, LLMs) | FinTech

We are searching for an Machine Learning Researcher (NLP, LLMs) to join a Series A startup on a mission to modernise outdated financial infra!

They're using cutting-edge tech to build smarter, faster systems that rethink how finance works from the ground up. This collaborative, forward-thinking team, are building powerful, AI-driven solutions using open-source LLMs, replacing outdated systems with sleek, scalable tech within Asset Management.

Based: Remote or London office

Salary: Up to £85,000

What You’ll Do

  • Lead NLP research, focusing on LLMs and code understanding
  • Run experiments, apply research, and build internal benchmarks
  • Collaborate with engineers and data scientists
  • Mentor junior team members and contribute to research publications

Interested? Apply now!

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering, Information Technology, and Research
  • Industries
    Software Development and Information Services

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