Machine Learning Engineer

Machine Learning Engineer

Posted 1 day ago by Great Value Hiring

Negotiable
Undetermined
Undetermined
United Kingdom

Summary: The Machine Learning Engineer role involves designing and implementing high-quality evaluation suites to assess AI performance on real-world machine learning tasks. Candidates should possess extensive experience in machine learning engineering or applied research, focusing on model training, debugging, and optimization. Strong communication skills and attention to detail are essential for success in this position.

Key Responsibilities:

  • Design and write detailed evaluation suites for machine learning engineering tasks
  • Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation

Key Skills:

  • 3+ years of experience in machine learning engineering or applied ML research
  • Hands-on experience with model development, experimentation, and evaluation
  • Background in ML research (industry lab or academic setting strongly preferred)
  • Strong ability to reason about ML system design choices and tradeoffs
  • Clear written communication and high attention to technical detail

Salary (Rate): £120.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Machine Learning Engineer [$100-$120/hr]

Experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks

Role Responsibilities

  • Design and write detailed evaluation suites for machine learning engineering tasks
  • Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation

Good Candidature

  • 3+ years of experience in machine learning engineering or applied ML research
  • Hands-on experience with model development, experimentation, and evaluation
  • Background in ML research (industry lab or academic setting strongly preferred)
  • Strong ability to reason about ML system design choices and tradeoffs
  • Clear written communication and high attention to technical detail