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Machine Learning (NLP) - 4 Months - West London (Hybrid)

Posted 14 hours 18 minutes ago by NLP PEOPLE

£70,000 - £90,000 Annual
Permanent
Full Time
Other
Middlesex, Stanwell, United Kingdom, TW19 7EB
Job Description
What You'll Do
  • Conduct cutting-edge research to tackle real-world AI challenges.
  • Develop high-quality code and documentation to ensure reproducible and impactful research.
  • Review state-of-the-art research papers and create prototype solutions that redefine what's possible.
  • Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community.
Who You Are
  • A PhD holder in ML/AI, Computer Science/Engineering, or a related field.
  • A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning.
  • Hands on experience in one or more of these areas: Generative AI, Parameter efficient Fine tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods.
  • First author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI).
  • Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy).
  • Comfortable working in Linux environments and collaborating in a hybrid team setup.
  • Exceptional communication, teamwork, and problem solving skills.
Why Join Us
  • Be part of a team that's at the forefront of AI research, developing solutions that impact millions of users worldwide.
  • Work in a dynamic and innovative environment where your ideas can shape the future of technology.
  • Enjoy a hybrid working model with 3 days onsite at our office and 2 days remote.
  • Collaborate with leading experts in the field and contribute to projects that push the boundaries of what AI can achieve.
Company:

microTECH Global Limited

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):

Senior (5+ years of experience)

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