Senior Machine Learning Operations Specialist
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About EE
We’re EE, the biggest mobile and broadband operator in the UK, with relationships in every second household. We serve everyone on any network, providing new tech, services, and inspiration for connected living.
Location and Flexibility
London, Birmingham, or Bristol. 3 days in the office, 2 days remote.
Role Overview
You will support the data science team by developing tools and frameworks for deploying and managing machine learning models, building operations monitoring, and managing the platform environment.
Responsibilities
1. Maintain templates for model deployment
2. Build data and concept drift monitoring systems
3. Develop tools to simplify engineering tasks for data scientists
4. Deploy infrastructure using CI/CD pipelines
5. Review data science code for quality assurance
6. Reimplement prototypes to production standards
7. Optimize platform from a FinOps perspective
Required Skills and Experience
* Experience with infrastructure as code frameworks like Terraform
* Experience with GitOps tools such as GitLab CI or Jenkins
* Managing cloud environments, preferably GCP
* Knowledge of Kubernetes (desirable)
* Developing REST or RPC endpoints
* Proficient in Python
* Background as a software or DevOps engineer (highly desirable)
* Knowledge of advanced statistics (desirable)
* Experience with big data technologies like Spark
Benefits
* Competitive salary and benefits
* 25 days annual leave plus bank holidays
* Performance bonus of 10%
* Life assurance, pension scheme, healthcare options
* Colleague discounts on EE plans and BT services
* Training and development opportunities
* Volunteer days
Inclusion and Diversity
EE is an equal opportunities employer committed to diversity and inclusion. We welcome applications from all backgrounds and encourage those who meet most but not all requirements to apply.
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