ML Engineer: Frontier AI Coding & Model Evaluation

Obsidian; Greater London; On-site; GBP 408,000 - 612,000; Part time

Job summary

Obsidian is seeking contributors to work on a Frontier Code Agents project, evaluating and improving frontier AI coding models through structured technical assessments. You will focus on realistic ML engineering workflows, model evaluation, and deploying AI-powered products.

Role requires 2+ years in ML engineering, experience with production ML systems, and familiarity with AI coding agents. Sprint-based work with 12-24 hour stretches as per client needs is expected.

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

Machine learning engineering

Model evaluation

Production ML systems

LLM applications

AI tooling

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Obsidian is seeking contributors to work on a Frontier Code Agents project, evaluating and improving frontier AI coding models through structured technical assessments. You will focus on realistic ML engineering workflows, model evaluation, and deploying AI-powered products.

Role requires 2+ years in ML engineering, experience with production ML systems, and familiarity with AI coding agents. Sprint-based work with 12-24 hour stretches as per client needs is expected.