Remote ML Engineer — AI Training & Pipelines (PhD/MS)

Synthires; Greater London; Remote; GBP 62,000 - 124,000; Part time

Job summary

Synthires seeks an experienced ML Engineer (MSc/PhD) for a remote, part-time contract. The role focuses on developing and optimizing AI models with Python, building reproducible workflows, and contributing to training and inference pipelines.

Responsibilities include designing and validating models and data pipelines, implementing numerical methods, and debugging performance bottlenecks. Strong ML background and Python proficiency are required.

Qualifications

• Master's degree or PhD in a quantitative field (CS/ML/AI/Applied Math/Statistics/Engineering).
• Strong professional or research experience in machine learning.
• Proficiency in Python and experience with coding agents.
• Ability to implement, debug, and validate complex ML workflows.

Responsibilities

• Develop and validate machine learning models, training pipelines, and inference systems.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows using Python and command-line tools.
• Debug numerical and system-level issues and optimize memory usage and performance.
• Create, solve, review, and validate challenging machine learning engineering tasks.

Skills

Python

Machine Learning

Model training

Data pipelines

Education

Master's degree in Computer Science

PhD in ML / AI

Job description

Synthires seeks an experienced ML Engineer (MSc/PhD) for a remote, part-time contract. The role focuses on developing and optimizing AI models with Python, building reproducible workflows, and contributing to training and inference pipelines.

Responsibilities include designing and validating models and data pipelines, implementing numerical methods, and debugging performance bottlenecks. Strong ML background and Python proficiency are required.