Hybrid Production ML Engineer: Cloud-Native & Generative AI

SPG Resourcing; Bolton; Hybrid; GBP 65,000 - 95,000; Full time

Job summary

SPG Resourcing, on behalf of a financial services client, is hiring a Machine Learning Engineer in a hybrid UK-based role. You will join a cross-functional Data Science team to take ML models from research to production, collaborating with Data Scientists, Data Engineers and Software Engineers to build scalable AI solutions.

The role emphasises software engineering, cloud technologies, and productionising ML in an enterprise setting, with responsibilities spanning end-to-end ML workflows,

Qualifications

• Commercial experience in ML Engineering or Data Science in production environments.
• Strong Python development with software engineering best practices.
• Experience deploying ML solutions to cloud-native production environments.
• Docker and Kubernetes containerisation and orchestration experience.
• MLOps practices including CI/CD, Git, and infrastructure automation.
• Experience with Azure and Databricks environments.
• Solid understanding of ML principles and deployment processes.
• Excellent communication to explain technical concepts to non-technical stakeholders.
• Experience with Agile delivery and Azure DevOps/Jira.

Responsibilities

• Design and enhance the organisation's ML engineering capability and Data Science platform.
• Build and automate end-to-end ML workflows using CI/CD and Infrastructure as Code.
• Collaborate with Data Scientists throughout model development and deployment lifecycle.
• Work with engineering teams and stakeholders to deliver production-ready AI solutions.
• Develop high-quality Python code following software engineering best practices.
• Contribute to design decisions including deployment strategies and solution architecture.
• Support deployment and operationalisation of ML and Generative AI solutions.
• Help establish engineering standards, tooling and practices as the function grows.

Skills

Python development

CI/CD

Docker

Kubernetes

Cloud platforms

Azure

Databricks

MLOps

Model deployment

Agile

Git

Communication

Tools

Azure DevOps

Jira

Job description

SPG Resourcing, on behalf of a financial services client, is hiring a Machine Learning Engineer in a hybrid UK-based role. You will join a cross-functional Data Science team to take ML models from research to production, collaborating with Data Scientists, Data Engineers and Software Engineers to build scalable AI solutions.

The role emphasises software engineering, cloud technologies, and productionising ML in an enterprise setting, with responsibilities spanning end-to-end ML workflows,