Machine Learning Engineer: Scale AI for Global Apps

Snapchat, Inc.; Greater London; On-site; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support programs

Competitive compensation

Job summary

Snap Inc. is seeking a Machine Learning Engineer to join our AI-first engineering team in London. You will build and deploy ML models for core Snapchat products, applying established techniques to real-world problems.

You’ll contribute to the ML lifecycle, including data analysis, model training, evaluation, and production deployment, and collaborate with cross-functional partners to ship ML-driven features.

Qualifications

• Bachelor's degree in computer science or equivalent years of practical work experience.
• 2+ years of post-Bachelor’s machine learning experience.
• Experience with ranking, recommendations, search, content understanding, image generation or related ML applications.

Responsibilities

• Build and deploy machine learning models for core Snapchat products.
• Apply established ML techniques to solve real-world problems.
• Contribute to the ML lifecycle: data analysis, model training, evaluation, and production deployment.
• Collaborate with cross-functional partners to implement and launch ML-driven features.
• Utilize AI tools and high-velocity engineering workflows to design and ship scalable services with rigorous code, security, and production standards.

Skills

Machine learning

Data analysis

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Computer Science

Master's degree in a related field

Job description

Snap Inc. is seeking a Machine Learning Engineer to join our AI-first engineering team in London. You will build and deploy ML models for core Snapchat products, applying established techniques to real-world problems.

You’ll contribute to the ML lifecycle, including data analysis, model training, evaluation, and production deployment, and collaborate with cross-functional partners to ship ML-driven features.