issues, Docker containers, and MLOps tooling Model Deployment - Deploy Hugging Face Transformers and ML models as secure microservices AWS ML Platform - Build and evaluate models using SageMaker, Bedrock, Glue, Athena, and Redshift Knowledge Transfer - Create documentation and mentor teams on MLOps best practices Full ML Lifecycle - Manage training, validation, versioning, deployment, monitoring, and governance API Development - Develop secure APIs … DevOps integration - CI/CD pipelines, Jenkins, Maven, Chef, Git version control Cloud architecture - Working across cloud-based infrastructures Tech Stack & Tools AWS Services: SageMaker, Bedrock, Glue, ECS Fargate, Athena, Kendra, RDS, Redshift, Lambda, CloudWatch Development: Python, R, Flask, FastAPI, SQL MLOps: Apigee, Hugging Face, Jenkins, Git, Docker Environments: Jupyter, RStudio, Linux What We're Looking For Experience Level More ❯
Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
Experian Group
within the metrics framework to analyze security reporting within PowerBi Environment. Interpret data in SQL, write queries, understand stored procedures. Familiarity with AWS Environments for data storage in S3, Athena, RDS SWL Confer with systems analysts, engineers, and executive partners to update reporting and maintain PowerBi Automation Routines, Templates and internal knowledgebases. Ensure PowerBI and Power Automate Report Development … suitable for users to filter and navigate through. Qualifications Knowledge of MS Data Fabric, Power Automate, MS Forms, PowerBI, MySQL and AWS Environments for data storage in S3 i.e. Athena, RDS SWL An understanding of systems architecture and designing Power Platform Applications and reporting solutions applying business rules and data validations. Experience building both standalone and integrated apps (e.g. More ❯
Associates, Mid-level Engineers, and Senior/Principal engineers. What You'll Do: Design, build, and scale data pipelines and services using AWS Glue, Lambda, Step Functions, S3, EMR, Athena, and more. Lead projects involving serverless, event-driven architectures and CI/CD workflows (GitLab CI). Write clean, production-grade code in Python (Scala is a bonus). … using Datadog or CloudWatch. Actively mentor Data Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid More ❯
