Machine Learning Engineer - Fully Remote | Upto $85/Hr

Mercor; Greater London; Hybrid; GBP 52,000 - 87,000; Full time

Benefits offered by this job

$400 per accepted task

Fully remote work

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. We seek a Machine Learning Engineer for fully remote work in the UK, with a strong focus on production ML systems and deployment, using frontier AI coding agents.

The role emphasizes evaluating model-generated ML implementations and tradeoffs, building robust ML tooling, and contributing to AI-powered products with remote collaboration.

Qualifications

• 2+ years of professional machine learning engineering experience.
• Experience building production ML systems and deployment infrastructure.
• Regular use of AI coding agents (Cursor, Claude Code, Codex, Windsurf, Gemini CLI).
• Ability to evaluate model-generated ML implementations and tradeoffs.

Responsibilities

• Use frontier AI coding agents to complete complex ML tasks.
• Review model-generated implementations for training, inference, and MLOps.
• Identify bugs, edge cases, and performance issues.
• Compare outputs from multiple frontier models and assess strengths and weaknesses.
• Apply professional engineering judgment to realistic ML engineering scenarios.

Skills

ML Engineering

Production ML Systems

ML Deployment

AI Coding Agents

Model Evaluation

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role 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.

Qualifications

Must-Have

• 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.

Preferred

• Experience deploying ML systems to production.
• $400 per accepted task.
• Compensation is tied to accepted work.

Machine Learning Engineer - Fully Remote | Upto $85/hr London, England, United Kingdom