Data & Machine Learning Engineer

About the role

The Data & Machine Learning Engineer will own the data infrastructure and ML model development for the Operations Excellence team. This role involves building data pipelines, deploying models into production, and ensuring their reliable performance across operational and back-office use cases. You will collaborate with cross-functional stakeholders to scope and validate ML initiatives that drive organizational efficiency.

Responsibilities

• Design and build data pipelines from operational and back-office sources feeding ML models
• Develop ML models for production and back-office use cases from experimentation through to production deployment
• Deploy models into production including serving infrastructure, monitoring, drift detection, and retraining workflows
• Work with the OAA Lead and stakeholders to scope and validate ML use cases regarding feasibility, data availability, and ROI
• Collaborate with the Automation Engineer to integrate model outputs into automated workflows
• Maintain and improve deployed models as data distributions and operational conditions evolve
• Document data pipelines, model architectures, feature definitions, and deployment configurations

Required skills

• Python
• SQL
• scikit-learn
• PyTorch
• MLOps
• Data engineering

Nice to have

• Airflow
• dbt
• AWS
• GCP
• Azure

Qualifications

• MSc in Data Science, Computer Science, Statistics, or equivalent

About the Company

Stark is a defence technology company that develops AI-driven autonomous defence platforms and software for NATO Allies and partners. The company focuses on innovation and agile technology to solve complex defence challenges.