Remote Python Engineer for AI & Data Systems

Alignerr

United States

Remote

GBP 83,000 - 152,000

Part time

4 days ago
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Job summary

Alignerr in the United Kingdom is seeking an advanced Python Software Engineer to work on production-grade AI software remotely under a flexible hourly contract.

You will design Python solutions, analyze complex datasets, and write SQL queries to support modeling workflows while collaborating with clients. This remote role offers 10–40 hours per week, freelance autonomy, and ongoing project opportunities, ideal for engineers who thrive on challenging, ambiguity-filled problems.

Qualifications

  • 4+ years of professional software engineering experience.
  • Advanced Python proficiency with production-grade code.
  • Strong data analysis with real-world datasets.

Responsibilities

  • Design, implement, and optimize advanced Python code for production-level systems
  • Analyze and manipulate structured datasets to support engineering and modeling workflows
  • Write and optimize SQL queries to extract, transform, and validate data
  • Review, debug, and improve existing codebases for performance and maintainability
  • Translate ambiguous, high-level requirements into concrete technical solutions
  • Apply consulting-style problem solving — evaluate tradeoffs and recommend best-fit approaches
  • Document assumptions, decisions, and implementation details clearly and precisely
  • Evaluate AI-generated code and analytical outputs for correctness and quality

Skills

Advanced Python proficiency
Data analysis
SQL
Consulting experience

Job description

Alignerr in the United Kingdom is seeking an advanced Python Software Engineer to work on production-grade AI software remotely under a flexible hourly contract.

You will design Python solutions, analyze complex datasets, and write SQL queries to support modeling workflows while collaborating with clients. This remote role offers 10–40 hours per week, freelance autonomy, and ongoing project opportunities, ideal for engineers who thrive on challenging, ambiguity-filled problems.

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