Machine Learning Engineer
We are a British—Ukrainian air defence tech company building distributed systems across the frontline. We are looking for a Production ML Researcher / Data Engineer to take ownership of the data and ML infrastructure behind our current and future computer vision products.
Our core value is impact for Ukraine: we build technology that makes a real difference on the actual battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters. We value ownership and responsibility—people who execute, deliver, and stand behind the results.
We especially value engineers with strong analytical thinking and proven problem-solving skills — such as participation in mathematical/programming olympiads or experience contributing to open-source projects.
What you’ll do
- Build production-grade data collection, labeling, and dataset curation pipelines for CV models
- Design workflows for annotation, quality control, and continuous dataset improvement
- Set up model deployment, experiment tracking, versioning, and monitoring
- Support training and inference pipelines in production environments
- Run experiments with different CV models and approaches, evaluate results, and improve system performance
- Help define the architecture and engineering standards for ML infrastructure across product lines
Requirements:
- Strong background in Machine Learning / Computer Vision
- Hands-on experience building data pipelines for ML systems
- Experience organizing labeling workflows and maintaining dataset quality
- Practical knowledge of model deployment, MLOps, and production ML
- Strong Python skills and experience with PyTorch or similar ML frameworks
- Ability to move between research and engineering: experiment, evaluate, deploy, improve
- Strong analytical thinking and solid foundations in linear algebra, probability, and statistics
- English: B1 or higher (working w/ international team members)
Nice to Have
- Experience in DefenseTech, SigInt, or embedded systems
- Understanding of RF-related data or sensor-driven ML systems
- Experience with real-time or low-latency ML pipelines
- Background in active learning, human-in-the-loop labeling, or continuous retraining workflows
We Offer
- Meaningful and high-impact work in the AIR defense domain
- Practical R&D environment with real autonomy
- Direct influence on technical decisions and the product direction
- Work in an experienced senior engineering team
- Сlear, fast, senior-to-senior communication with a minimum number of team meetings
- Full-time position with office in the center of Kyiv