Machine Learning Engineer

. Contribute to the design and evolution of the Data Science platform .

Posted 9/25/2026full-timeManchester • United KingdomMid-LevelSeniorWebsite

Tools & technologies

AzureCloudKubernetesPython

Key responsibilities & impact

Contribute to the design and evolution of the Data Science platform
Help define best practices, tooling, and the ML Engineering function
Automate the end-to-end data science lifecycle using CI/CD and infrastructure as code
Support scalable, enterprise-grade production workflows
Collaborate across the data science and deployment lifecycle for traditional machine learning and generative solutions
Work with data engineers, software engineers, and business stakeholders
Write high-quality Python code for model development, deployment, and maintainability
Contribute to data science modelling and project workflows
Help select modelling approaches
Participate in architecture discussions and deployment strategies
Transition research models into scalable, production-ready solutions

What you’ll need

Proven track record in data science or ML engineering roles within a business setting
Strong Python programming skills and wider software engineering best practice
Strong communication skills, including translation of technical concepts for non-technical stakeholders
Good understanding of core data science principles
Experience with production-level cloud-native deployment of machine learning services
Experience using containerisation, Kubernetes or equivalent
Experience with Azure and Databricks particularly beneficial
Experience with VCS (Git), CI/CD, Azure DevOps desirable, and JIRA
Experience deploying data science models to solve real-world business problems in production
Experience within a regulated industry such as finance or insurance ideally
Experience utilising LLMs, generative AI, or agentic AI in a commercial setting beneficial

Comp & perks