Machine Learning Research & Engineering Specialist (AI)

Location: Remote — Worldwide; listed locations include the United Kingdom, Germany, Poland, South Africa, United Arab Emirates, and Egypt.

Company

Boutique consultancy specializing in IT professional services and engineering talent solutions.

What you will do

• Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
• Build reproducible workflows with Python, command-line tools, and relevant machine learning frameworks.
• Debug numerical, algorithmic, and system-level failures and implement reliable solutions.
• Optimize training and inference for memory usage, computational efficiency, throughput, and performance.
• Design correctness and performance tests, review challenging ML engineering tasks, document findings, and deliver reproducible submissions.

Requirements

• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning and practical ML engineering.
• Strong Python programming skills, including implementing, debugging, testing, and optimizing non-trivial code.
• Hands-on experience using coding agents within a Python development workflow.
• Understanding of model development, training and inference workflows, and evaluation methods.
• Ability to build reproducible implementations and verify correctness through systematic testing.
• Strong quantitative reasoning and problem-solving skills for diagnosing numerical and computational issues.
• Ability to work independently, manage technical tasks, meet quality and submission requirements, and explain technical findings clearly in writing.
• Availability for approximately 15 hours per week and to begin the first task within 24–48 hours after onboarding.

Culture & Benefits

• Remote, worldwide work arrangement.
• Contract engagement focused on an advanced AI training project.
• Opportunity to work on model development, inference systems, numerical computing, and performance optimization.