Machine Learning Engineer: Scalable Deep Learning

ASOS; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading online retailer in Greater London is seeking a Machine Learning Engineer to develop and deploy impactful machine learning solutions within a cross-functional team. The ideal candidate will have hands-on experience in deep learning, proficiency with modern ML frameworks, and excellent communication skills. This role offers competitive salary, performance-related bonuses, and a dynamic workplace that promotes creativity and innovation. Join us to help transform data into power for personalized customer experiences.

Benefits

Competitive salary

Performance-based bonus

Generous employee discount

Professional development opportunities

Flexible benefits allowance

Private medical care options

Qualifications

• Experience developing and deploying machine learning solutions focusing on deep learning.
• Familiarity with end-to-end deployment workflows.
• Interest in distributed computing and scalable systems.

Responsibilities

• Collaborate with teams to design and optimize machine learning models.
• Deploy and maintain machine learning systems at scale.
• Translate experimental models into production-ready solutions.

Skills

Hands-on experience in machine learning solutions

Experience with modern ML frameworks

Proficiency in training models using GPUs

Familiar with software development practices

Strong communication skills

Tools

ML frameworks

CI/CD

Containerization

Job description

A leading online retailer in Greater London is seeking a Machine Learning Engineer to develop and deploy impactful machine learning solutions within a cross-functional team. The ideal candidate will have hands-on experience in deep learning, proficiency with modern ML frameworks, and excellent communication skills. This role offers competitive salary, performance-related bonuses, and a dynamic workplace that promotes creativity and innovation. Join us to help transform data into power for personalized customer experiences.