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# ML Engineer

- **Company:** Sky UK
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Azure Machine Learning, SQL Databases, Unstructured Data, Workflow Management Systems, Feature Engineering, Build Management, Containerization, Kubernetes, Machine Learning Operations, Virtual Agents, Data Pipelines, Docker, Microservices
- **Published:** May 30, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=b89eba3e1d4a597b

## About the Role

Do you have experience in SQL?, * Solid Python engineering skills, including writing production quality code and working with ML/analytics libraries.

 * Hands-on experience with data engineering workflows: data modelling, pipeline development, and processing of large structured and unstructured datasets (SQL preferred).
 * Practical experience deploying ML models and analytical applications to cloud platforms (GCP preferred).
 * Familiarity with modern ML operations practices: model management, monitoring, CI/CD, and reproducible workflows.
 * Understanding of microservices, containerisation, or orchestration tools (e.g., Docker, Kubernetes).
 * Clear communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.

## Description

Data science is central to how Sky understands and serves its customers. Our Data Science & Analytics team builds the intelligence that powers personalised experiences, smarter decision-making, and commercial performance across the business. With rich behavioural, engagement, and service-quality data at our fingertips, we're scaling our capabilities and investing in modern Machine Learning Engineering to unlock even more value.

Our ML Engineers work alongside data scientists, data engineers and our operations teams to productionise models, automate workflows, and ensure our solutions run reliably at scale. Together, we're evolving a proven, automated ML platform to keep it reliable, scalable, and ready for the future.

What you'll do

 * Build and deploy scalable machine learning solutions that power customer experience, personalisation, and commercial decision-making across Sky.

 * Develop robust feature engineering pipelines that feed ML models and analytical products.
 * Work closely with data scientists, engineers, and product teams to translate business needs into production ready systems.
 * Implement, test, and optimise ML workflows to ensure reliability, performance, and compliance in a large-scale cloud environment.
 * Stay current with emerging ML engineering techniques (e.g. Agentic AI) and bring innovative approaches into the team.


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