AWS ML Data Scientist

Infosys; Greater London; On-site; GBP 48,000 - 88,000; Full time

Job summary

Infosys in the United Kingdom seeks a senior quantitative analytics professional to develop predictive models, deploy them on AWS SageMaker, and implement monitoring with Prometheus/Grafana. You will work on model deployment and ongoing telemetry, ensuring reliable production performance.

The role requires a strong background in statistics, mathematics or computer science, with 7+ years of experience in quantitative analytics and data modeling. A valid work permit for the UK is assumed.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 7+ years of experience in quantitative analytics or data modeling.
• Strong knowledge of predictive modeling, ML techniques and deployment.

Responsibilities

• We will develop classical machine learning models and deploy them.
• We build ML models using AWS SageMaker and monitor them post-launch.
• We set up monitoring/telemetry using Prometheus and Grafana.

Skills

Quantitative analytics

Data modeling

Predictive modeling

Machine learning

Model deployment

Telemetry monitoring

Education

Bachelor's degree in quantitative field

Tools

AWS SageMaker

Prometheus

Grafana

Cloud platforms

Job description

Salary: £48,000 - 88,000 per year

Requirements:

• Bachelors degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 7+ years of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Experience in hosting models and setting up monitoring/telemetry using Prometheus/Grafana or any equivalent tool

Responsibilities:

• We require classical machine learning experience
• We build machine learning models using AWS Sagemaker
• We host models and set up monitoring/telemetry using Prometheus/Grafana or any equivalent tool

Technologies:

• AWS
• Grafana
• Support
• Machine Learning
• Prometheus
• Cloud

More:

We are seeking support for a project focused on classical machine learning and model deployment. Our work includes building machine learning models in AWS Sagemaker, hosting the models, and setting up monitoring and telemetry using Prometheus/Grafana or similar tools.

last updated 36 week of 2026