Frontier ML Engineer — AI Coding Model Evaluator (Contract)

Obsidian; Greater London; Remote; GBP 136,000 - 204,000; Full time

Job summary

Obsidian is seeking contributors for a Frontier Code Agents project, collaborating with a leading AI research lab to evaluate and improve frontier AI coding models through structured technical assessments. You will work on realistic ML engineering workflows, model evaluation, and debugging.

We welcome applicants with 2+ years in ML engineering, experience deploying ML systems, and familiarity with AI coding agents like Cursor, Claude Code, Codex, Windsurf or Gemini CLI.

Qualifications

• 2+ years of professional machine learning engineering experience.
• Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
• Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
• Experience deploying ML systems to production is preferred.

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
• Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
• Identify bugs, edge cases, performance issues, and failure modes.
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
• Apply professional engineering judgment to realistic ML engineering scenarios.

Skills

ML engineering

Production ML systems

LLM applications

AI coding agents

Model evaluation

Production deployment

Evaluation of model outputs

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Obsidian is seeking contributors for a Frontier Code Agents project, collaborating with a leading AI research lab to evaluate and improve frontier AI coding models through structured technical assessments. You will work on realistic ML engineering workflows, model evaluation, and debugging.

We welcome applicants with 2+ years in ML engineering, experience deploying ML systems, and familiarity with AI coding agents like Cursor, Claude Code, Codex, Windsurf or Gemini CLI.