Techfueld logo

Machine Learning Engineer

Techfueld
Department:Data Analysis
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Entry level
Estimated Salary:£40,000 - £60,000
Skills:
PYTHONLARGE LANGUAGE MODELSPROMPT ENGINEERINGMODEL FINE-TUNINGCLOUD PLATFORMS
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Job Description

Posted on: February 24, 2025

About the Client

Our client is a dynamic startup who are revolutionizing the future of AI and machine learning applications. They are dedicated to pushing the boundaries of technology to create innovative solutions that drive real-world impact. Initially focused on the automotive market their technology will be able to be utilized in cross-industry as they grow.

Overview of the Role

Our client is searching for a hands-on AI/ML expert who is passionate about building new technologies to support building a new first-of-its-kind product on the market.

Responsibilities

Develop concepts for prompt engineering and multi-agent collaboration systems

Implement and fine-tune large language models (LLMs) for various applications

Implement and fine-tune TAG systems

Conduct testing and evaluation of AI models, ensuring robustness and performance

Stay up-to-date with the latest advancements in AI and machine learning research

Mandatory skills

  • Proficiency in Python programming language
  • Experience with large language models (LLMs), prompt engineering, and RAG pipelines
  • Hands-on experience with LLM agent orchestration frameworks

Skills and Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field
  • Experience with model fine-tuning techniques
  • Experience with cloud platforms

Who is Techfueld?

Techfueld is a specialist search firm focused solely within E-mobility & Vehicle Technology recruitment. We offer retained, contingent and project/team builds for automotive suppliers and car manufacturers across Europe, North America, and APAC regions.

All conversations are held confidentially, and your information is only forwarded to any of our clients, should you wish to proceed.

Originally posted on LinkedIn

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