City of London, London, United Kingdom Hybrid/Remote Options
JLA Resourcing Ltd
using SQL and NoSQL databases. Hands-on ownership of CI/CD (Jenkins/Azure DevOps/GitHub Actions) and MLOps in Azure ML/Azure AI Foundry/SageMaker/Vertex AI. Working knowledge of Infrastructure as Code (Bicep, ARM, Terraform). A test-driven development mindset and commitment to engineering quality. Broad understanding of ML approaches, with More ❯
Coventry, West Midlands, United Kingdom Hybrid/Remote Options
Coventry Building Society
A team-led hybrid working arrangement is in place. About you To be successful in this role it's essential you have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience of building and automating data pipelines in finance The ability to demonstrate, automate and manage data systems so they run smoothly and can grow easily. Familiarity with Docker More ❯
Manchester, North West, United Kingdom Hybrid/Remote Options
Coventry Building Society
A team-led hybrid working arrangement is in place. About you To be successful in this role it's essential you have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience of building and automating data pipelines in finance The ability to demonstrate, automate and manage data systems so they run smoothly and can grow easily. Familiarity with Docker More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Robert Half
their consulting delivery team, supporting key financial services and banking clients. The assignment focuses on designing and building an advanced model developer environment for containerised model deployments on AWS SageMaker , with GenAI/agentic capabilities embedded into the platform. You will also lead a team of four developers and collaborate closely with data engineering, data science and platform teams. … Experience Banking experience is essential Strong software engineering background with expert Python Hands-on experience with GitLab CI/CD Extensive Docker containerisation & runtime experience Strong understanding of AWS SageMaker deployments Experience building developer environments for ML/quant/data-intensive workflows Knowledge of monitoring, logging, reporting and test automation Proven team leadership of small development teams Strong More ❯