Machine Learning Engineer Intern contributing to AI solutions for financial services. Engaging in hands - on ML projects and real production issues in a hybrid working environment.
About the role
- Machine Learning Engineer in the CTO division at Open Cosmos developing ML-driven solutions for spacecraft operations. Focused on anomaly detection, forecasting, and decision-making automation.
Responsibilities
- Developing and refining models for anomaly detection, telemetry classification, forecasting and behavioural prediction
- Building automated data analysis pipelines for mission telemetry and production test data
- Integrating ML outputs into operational tools and automation frameworks across mission control and testing
- Preparing, cleaning and structuring datasets for training and validation
- Analysing trends, surfacing insights and supporting model validation and performance tracking
- Maintaining high standards of data quality, reliability and traceability
- Working with OpenOPS to embed ML-driven insights into the Mission Control System
- Partnering with Automation Engineers to embed ML into operational and production workflows
- Validating model behaviour in simulated and live operational contexts
- Monitoring model performance and improving production systems over time
- Maintaining clear documentation for models, datasets and operational interfaces
Requirements
- Strong applied capability in machine learning, data science or applied AI
- Strong Python capability and fluency with tools such as TensorFlow, PyTorch or Scikit-learn
- Understanding of time-series modelling and anomaly detection
- Background deploying ML systems into production environments
- Familiarity with spacecraft telemetry or aerospace systems is a plus
- An analytical mindset and structured problem-solving approach.
Benefits
- Work at the cutting edge of space technology with customers around the globe.
- A mission-driven company making space accessible to help solve real-world challenges.
- A diverse, ambitious, and supportive team.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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