Senior ML Engineer — Production ML on AWS

Tate; City Of London; Hybrid; GBP 80,000 - 95,000; Full time

Job summary

A leading digital gaming platform seeks a Senior Machine Learning Engineer to design and deliver production-grade ML systems. This hybrid role requires expertise in model development, data science, and cloud deployment. Candidates should have over three years of experience in ML engineering, strong Python and SQL skills, and a Master's degree in a STEM field. The position involves collaboration with data scientists and stakeholders to ensure robust and scalable solutions.

Qualifications

• 3+ years of industrial ML engineering experience, not purely academic.
• Strong data science fundamentals including supervised learning and feature engineering.
• Hands-on experience deploying applications in cloud environments.

Responsibilities

• Develop, validate, and optimize predictive models using advanced ML algorithms.
• Deploy models as APIs and implement CI/CD strategies.
• Build scalable data workflows and feature stores for ML applications.

Skills

Machine Learning algorithms

Python proficiency

SQL queries

AWS services

Docker

Kubernetes

Communication skills

Education

Master's degree in a STEM discipline

PhD in a quantitative discipline (desirable)

Tools

AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch)

Docker

Kubernetes

Job description

A leading digital gaming platform seeks a Senior Machine Learning Engineer to design and deliver production-grade ML systems. This hybrid role requires expertise in model development, data science, and cloud deployment. Candidates should have over three years of experience in ML engineering, strong Python and SQL skills, and a Master's degree in a STEM field. The position involves collaboration with data scientists and stakeholders to ensure robust and scalable solutions.