ML Developer | Remote

Crossing Hurdles; United Kingdom; On-site; GBP 70,000 - 110,000; Full time

Job summary

Crossing Hurdles is seeking a highly qualified ML researcher/engineer to develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure within a collaborative research environment.

The role emphasizes Python proficiency, reproducible workflows, and rigorous evaluation, with a preference for advanced degrees, strong ML experience, and proven open‑source or academic contributions.

Qualifications

• Master's degree or PhD in a quantitative field as listed.
• Strong relevant experience in machine learning, with evidence of impactful work.
• Exceptional open-source or academic experience may also qualify.

Responsibilities

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.
• Optimize memory or throughput and debug numerical or system-level failures.
• Verify that implementations satisfy objective correctness and performance requirements.

Skills

Machine Learning

Python

Open Source

Academic Research

Engineering Experience

Education

Master's degree or PhD in Computer Science, ML, AI, Applied Mathematics, Statistics, Engineering or related quantitative discipline

Job description

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.
• Optimize memory or throughput and debug numerical or system-level failures.
• Verify that implementations satisfy objective correctness and performance requirements.

Requirements

• A master s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong relevant experience in machine learning.
• Practical proficiency with Python and coding agents.
• Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred.
• Exceptional open-source or academic experience may also qualify.