Machine-Learning Engineer

E-Solutions; United Kingdom; Hybrid; GBP 125,000 - 150,000; Part time

Job summary

A technology solutions provider is seeking a Senior Machine Learning specialist with deep expertise in computer vision to lead ML projects and optimize model performance. The role involves developing cutting-edge multimodal ML systems while collaborating with cross-functional teams. Candidates should have a strong background in Python and extensive experience in deploying computer vision models. This hybrid position is based in Budapest.

Qualifications

• 5+ years of experience in Machine Learning/AI.
• Strong track record of shipping computer vision models to production.
• Expert knowledge of computer vision techniques and deep learning.

Responsibilities

• Develop and optimize computer vision and multimodal models.
• Lead technical implementation of ML projects.
• Implement scalable training and evaluation pipelines.

Skills

Computer vision

Deep learning

Python

MLOps tools

Image processing

Education

MS or PhD in Computer Science, Engineering, Mathematics

Tools

PyTorch

Job description

Job: Sr Machine Learning-Hungary

Location: Budapest, Hungary (Hybrid)

Duration: 6 Months Contract

Core Responsibilities

Technical Development & Innovation:
• Develop and optimize state-of-the-art computer vision and multimodal models
• Design and implement advanced model architectures for visual understanding tasks
• Create robust evaluation frameworks and testing methodologies
• Drive technical improvements in model performance and efficiency
• Research and evaluate new approaches in computer vision and multimodal learning
• Implement novel computer vision algorithms and techniques

Project Leadership:
• Lead technical implementation of ML projects
• Drive architectural decisions for model development
• Review code and model architectures
• Contribute to technical planning and decision-making
• Support cross-functional collaboration with product and infrastructure teams
• Help maintain technical standards and best practices

Infrastructure & Scale:
• Implement scalable training and evaluation pipelines for computer vision models
• Build efficient visual data processing workflows
• Develop monitoring solutions for production ML systems
• Optimize model performance and resource utilization
• Support deployment and production maintenance
• Design efficient inference systems for visual processing

Required Qualifications

Education & Experience:
• MS or PhD in Computer Science, Engineering, Mathematics, or related field
• 5+ years of experience in Machine Learning/AI
• Strong track record of shipping computer vision models to production
• Deep expertise in computer vision and deep learning

Technical Expertise:
• Expert knowledge of computer vision techniques and architectures
• Deep expertise in modern deep learning architectures for visual and multimodal tasks
• Strong programming skills in Python and proficiency with PyTorch or equivalent frameworks
• Experience with cloud platforms and MLOps tools
• Demonstrated ability in building and optimizing training pipelines
• Strong background in image processing and visual computing

Leadership & Communication:
• Experience leading technical projects
• Strong problem-solving and analytical skills
• Excellence in cross-functional collaboration and technical communication
• Ability to translate complex technical concepts to various audiences

This role offers the opportunity to work on cutting-edge computer vision and multimodal ML systems while solving complex technical challenges. The ideal candidate will combine deep computer vision expertise with strong implementation skills to deliver innovative solutions.