Senior ML Engineer: Production AI & MLOps Leader

SPG Resourcing; Manchester; On-site; GBP 70,000 - 110,000; Full time

Job summary

SPG Resourcing on behalf of a leading financial services organisation is recruiting a Machine Learning Engineer to take models from research to production within a collaborative data function in Manchester.

You will design scalable ML workflows, deploy in cloud-native environments using Docker, Kubernetes and CI/CD, and work closely with Data Scientists and Engineers to deliver production-ready AI solutions.

Qualifications

• Commercial experience in ML engineering or data science within production.
• Strong Python development with software engineering best practices.
• Experience deploying ML solutions in cloud-native production environments.
• Experience with Docker and Kubernetes.
• Knowledge of MLOps: CI/CD, Git, infrastructure automation.
• Experience with Azure and Databricks is beneficial.
• Experience with LLMs or Generative AI in a commercial environment is desirable.
• Experience deploying ML in regulated industries such as financial services.

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 through 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 traditional ML and Generative AI solutions.
• Help establish engineering standards, tooling and best practices as the function grows.

Skills

Python development

Cloud deployments

MLOps

CI/CD

Agile delivery

Communication skills

Git / version control

Tools

Docker

Kubernetes

Azure

Databricks

Azure DevOps

Jira

Job description

SPG Resourcing on behalf of a leading financial services organisation is recruiting a Machine Learning Engineer to take models from research to production within a collaborative data function in Manchester.

You will design scalable ML workflows, deploy in cloud-native environments using Docker, Kubernetes and CI/CD, and work closely with Data Scientists and Engineers to deliver production-ready AI solutions.